{ "cells": [ { "cell_type": "markdown", "id": "dfe37963-1af6-44fc-a841-8e462443f5e6", "metadata": {}, "source": [ "## Expert Knowledge Worker\n", "\n", "### A question answering agent that is an expert knowledge worker\n", "### To be used by employees of Insurellm, an Insurance Tech company\n", "### The agent needs to be accurate and the solution should be low cost.\n", "\n", "This project will use RAG (Retrieval Augmented Generation) to ensure our question/answering assistant has high accuracy." ] }, { "cell_type": "code", "execution_count": 1, "id": "ba2779af-84ef-4227-9e9e-6eaf0df87e77", "metadata": {}, "outputs": [], "source": [ "# imports\n", "\n", "import os\n", "import glob\n", "from dotenv import load_dotenv\n", "import gradio as gr" ] }, { "cell_type": "code", "execution_count": 2, "id": "802137aa-8a74-45e0-a487-d1974927d7ca", "metadata": {}, "outputs": [], "source": [ "# imports for langchain and Chroma and plotly\n", "\n", "from langchain.document_loaders import DirectoryLoader, TextLoader\n", "from langchain.text_splitter import CharacterTextSplitter\n", "from langchain.schema import Document\n", "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", "from langchain_chroma import Chroma\n", "import numpy as np\n", "from sklearn.manifold import TSNE\n", "import plotly.graph_objects as go" ] }, { "cell_type": "code", "execution_count": 3, "id": "58c85082-e417-4708-9efe-81a5d55d1424", "metadata": {}, "outputs": [], "source": [ "# price is a factor for our company, so we're going to use a low cost model\n", "\n", "MODEL = \"gpt-4o-mini\"\n", "db_name = \"vector_db\"" ] }, { "cell_type": "code", "execution_count": 4, "id": "ee78efcb-60fe-449e-a944-40bab26261af", "metadata": {}, "outputs": [], "source": [ "# Load environment variables in a file called .env\n", "\n", "load_dotenv()\n", "os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY', 'your-key-if-not-using-env')" ] }, { "cell_type": "code", "execution_count": 5, "id": "730711a9-6ffe-4eee-8f48-d6cfb7314905", "metadata": {}, "outputs": [], "source": [ "# Read in documents using LangChain's loaders\n", "# Take everything in all the sub-folders of our knowledgebase\n", "\n", "folders = glob.glob(\"knowledge-base/*\")\n", "\n", "documents = []\n", "for folder in folders:\n", " doc_type = os.path.basename(folder)\n", " loader = DirectoryLoader(folder, glob=\"**/*.md\", loader_cls=TextLoader)\n", " folder_docs = loader.load()\n", " for doc in folder_docs:\n", " doc.metadata[\"doc_type\"] = doc_type\n", " documents.append(doc)" ] }, { "cell_type": "code", "execution_count": 6, "id": "7310c9c8-03c1-4efc-a104-5e89aec6db1a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Created a chunk of size 1088, which is longer than the specified 1000\n" ] } ], "source": [ "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", "chunks = text_splitter.split_documents(documents)" ] }, { "cell_type": "code", "execution_count": 7, "id": "cd06e02f-6d9b-44cc-a43d-e1faa8acc7bb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "123" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(chunks)" ] }, { "cell_type": "code", "execution_count": 8, "id": "2c54b4b6-06da-463d-bee7-4dd456c2b887", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Document types found: contracts, products, employees, company\n" ] } ], "source": [ "doc_types = set(chunk.metadata['doc_type'] for chunk in chunks)\n", "print(f\"Document types found: {', '.join(doc_types)}\")" ] }, { "cell_type": "markdown", "id": "77f7d2a6-ccfa-425b-a1c3-5e55b23bd013", "metadata": {}, "source": [ "## A sidenote on Embeddings, and \"Auto-Encoding LLMs\"\n", "\n", "We will be mapping each chunk of text into a Vector that represents the meaning of the text, known as an embedding.\n", "\n", "OpenAI offers a model to do this, which we will use by calling their API with some LangChain code.\n", "\n", "This model is an example of an \"Auto-Encoding LLM\" which generates an output given a complete input.\n", "It's different to all the other LLMs we've discussed today, which are known as \"Auto-Regressive LLMs\", and generate future tokens based only on past context.\n", "\n", "Another example of an Auto-Encoding LLMs is BERT from Google. In addition to embedding, Auto-encoding LLMs are often used for classification." ] }, { "cell_type": "code", "execution_count": 9, "id": "78998399-ac17-4e28-b15f-0b5f51e6ee23", "metadata": {}, "outputs": [], "source": [ "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", "\n", "embeddings = OpenAIEmbeddings()" ] }, { "cell_type": "code", "execution_count": 10, "id": "763e51ff-5787-4a56-8176-36b7c5796fe3", "metadata": {}, "outputs": [], "source": [ "# Check if a Chroma Datastore already exists - if so, delete the collection to start from scratch\n", "\n", "if os.path.exists(db_name):\n", " Chroma(persist_directory=db_name, embedding_function=embeddings).delete_collection()" ] }, { "cell_type": "code", "execution_count": 11, "id": "99fe3a37-480f-4d55-be48-120588d5846b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Vectorstore created with 123 documents\n" ] } ], "source": [ "# Create our Chroma vectorstore!\n", "\n", "vectorstore = Chroma.from_documents(documents=chunks, embedding=embeddings, persist_directory=db_name)\n", "print(f\"Vectorstore created with {vectorstore._collection.count()} documents\")" ] }, { "cell_type": "code", "execution_count": 12, "id": "057868f6-51a6-4087-94d1-380145821550", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The vectors have 1,536 dimensions\n" ] } ], "source": [ "# Get one vector and find how many dimensions it has\n", "\n", "collection = vectorstore._collection\n", "sample_embedding = collection.get(limit=1, include=[\"embeddings\"])[\"embeddings\"][0]\n", "dimensions = len(sample_embedding)\n", "print(f\"The vectors have {dimensions:,} dimensions\")" ] }, { "cell_type": "code", "execution_count": null, "id": "61e393a0-dd4c-419f-842f-60c1cb3b716b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "b0d45462-a818-441c-b010-b85b32bcf618", "metadata": {}, "source": [ "## Visualizing the Vector Store\n", "\n", "Let's take a minute to look at the documents and their embedding vectors to see what's going on." ] }, { "cell_type": "code", "execution_count": 14, "id": "b98adf5e-d464-4bd2-9bdf-bc5b6770263b", "metadata": {}, "outputs": [], "source": [ "# Prework\n", "\n", "result = collection.get(include=['embeddings', 'documents', 'metadatas'])\n", "vectors = np.array(result['embeddings'])\n", "documents = result['documents']\n", "doc_types = [metadata['doc_type'] for metadata in result['metadatas']]\n", "colors = [['blue', 'green', 'red', 'orange'][['products', 'employees', 'contracts', 'company'].index(t)] for t in doc_types]" ] }, { "cell_type": "code", "execution_count": 15, "id": "427149d5-e5d8-4abd-bb6f-7ef0333cca21", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hoverinfo": "text", "marker": { "color": [ "red", "red", "red", "red", "red", "green", "red", "orange", "green", "red", "red", "red", "red", "blue", "green", "blue", "red", "red", "green", "green", "blue", "red", "red", "green", "red", "green", "green", "blue", "red", "red", "green", "red", "blue", "red", "blue", "green", "red", "red", "red", "orange", "blue", "red", "green", "green", "red", "green", "red", "red", "green", "blue", "green", "green", "red", "red", "green", "red", "green", "red", "green", "green", "red", "red", "red", "red", "blue", "green", "green", "green", "red", "blue", "red", "blue", "green", "red", "green", "red", "orange", "green", "red", "green", "green", "green", "green", "red", "green", "green", "green", "green", "green", "red", "blue", "green", "red", "green", "green", "green", "blue", "green", "red", "blue", "red", "red", "green", "red", "blue", "blue", "blue", "red", "green", "blue", "red", "green", "red", "green", "red", "blue", "green", "red", "green", "blue", "green", "red", "blue" ], "opacity": 0.8, "size": 5 }, "mode": "markers", "text": [ "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca..." ], "type": "scatter", "x": [ -8.071104, -6.2519703, -1.8580668, -6.436127, -0.6904994, 10.130567, -12.429563, 0.08344886, 9.76927, -5.9893513, -5.7498426, -6.885394, -5.8710027, -1.6460683, 8.309161, -0.6193017, -7.80085, -6.847732, 13.126606, 5.324947, -4.0730667, -8.945796, -8.128535, 12.312359, -9.230899, 4.4518313, 6.9866157, -3.3632085, -9.421097, -10.381586, 13.040782, -6.9263716, -1.5311053, -6.9470024, -2.942015, 14.603296, -8.931177, -4.720853, -1.7678646, 1.353522, -4.276341, -5.905624, 9.807923, 10.614696, -5.8416805, 12.296406, -10.367664, -1.4945257, 6.8976645, 0.342791, 9.335933, 8.303513, -1.4391268, -3.58222, 10.020635, -6.911788, 7.0954995, -7.301257, 13.4010515, 13.705383, -10.170157, -9.219992, -7.2120805, -6.8258886, -4.641127, 8.424806, 7.9604635, 6.829996, -8.214355, -2.8727412, -7.5102572, -1.3124497, 11.636429, -10.183806, 12.341001, -8.668994, 0.4821271, 11.663062, -4.102811, 9.26108, 8.463315, 4.211969, 6.785783, -11.887801, 10.624305, 14.721668, 12.691266, 12.924206, 10.893478, -6.0467463, -3.0542178, 10.258011, -4.1896935, 8.572656, 9.204262, 7.152999, -4.3750257, 5.5449634, -0.12708236, -5.304075, -7.869064, -7.5764885, 12.494096, -10.284406, -1.310298, -1.452017, -4.2100368, -10.763239, 9.471508, -3.4186995, -6.4836793, 9.771511, -12.165046, 13.8430805, -3.105149, -0.94607294, 9.828463, -4.0742583, 7.9726176, -5.4842634, 14.348989, -9.427354, -1.1870847 ], "y": [ 1.5902514, -3.5992181, 1.8065181, 2.222174, -0.8966787, -1.4253742, -1.221891, -4.0924973, -2.557773, 5.598769, -2.7837224, -2.3674812, -0.27511686, -2.4927423, 0.25777915, 1.767931, -4.053594, 3.416252, -2.3764908, -1.5142679, -3.1539073, -3.7365606, 0.0063864263, -2.8577769, 1.0260776, -4.2089653, 0.97690046, -0.15132362, -2.035713, 5.513457, -4.1340413, 5.7823067, 3.6807516, -1.7526506, -4.9345284, -1.5680406, 2.1363566, 3.4425445, 4.575071, -4.3501062, -4.5625734, 6.9895754, -5.565334, 1.0561501, 5.15573, -0.5245365, 4.905023, -1.2498422, 1.1531521, 1.9650984, -6.708022, -6.7171946, -0.40709332, 4.6162, 1.5808111, 2.8648286, -6.5857615, -3.428619, -2.7383366, -1.5134356, 3.429126, 0.46467334, 5.3535476, 0.5220494, -0.55356896, -4.8343368, -2.3620856, -5.916163, -3.1133218, -2.527424, 1.3960353, -2.8949306, -2.216425, 0.37436485, -4.269915, -1.8885767, -4.070706, -4.9224176, 5.2717934, 0.7036075, -0.74303395, -3.657771, 0.21052341, -1.5309354, 1.3039184, -2.3333063, 0.33577925, -0.81413126, -6.8172393, -4.9814715, -1.7771184, 0.02913107, 2.2616448, -5.4093633, -6.320122, -4.430528, -0.18062231, -1.3993918, 0.036958076, -3.925734, -0.23834208, 4.7376623, -1.7152996, 5.924522, -3.9765553, 2.7250137, -1.4355923, -0.86104953, -2.894225, 0.08414796, 4.1407557, -3.584049, -1.2970203, -0.34048915, 2.545294, 2.056669, -4.4441853, 3.6039774, -4.7505445, -4.868258, -3.066253, 5.036427, -1.8640015 ] } ], "layout": { "height": 600, "margin": { "b": 10, "l": 10, "r": 20, "t": 40 }, "scene": { "xaxis": { "title": { "text": "x" } }, "yaxis": { "title": { "text": "y" } } }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "2D Chroma Vector Store Visualization" }, "width": 800, "xaxis": { "autorange": true, "range": [ -14.078558425359779, 16.37066342535978 ], "type": "linear" }, "yaxis": { "autorange": true, "range": [ -7.685158477617043, 7.857494577617043 ], "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We humans find it easier to visalize things in 2D!\n", "# Reduce the dimensionality of the vectors to 2D using t-SNE\n", "# (t-distributed stochastic neighbor embedding)\n", "\n", "tsne = TSNE(n_components=2, random_state=42)\n", "reduced_vectors = tsne.fit_transform(vectors)\n", "\n", "# Create the 2D scatter plot\n", "fig = go.Figure(data=[go.Scatter(\n", " x=reduced_vectors[:, 0],\n", " y=reduced_vectors[:, 1],\n", " mode='markers',\n", " marker=dict(size=5, color=colors, opacity=0.8),\n", " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", " hoverinfo='text'\n", ")])\n", "\n", "fig.update_layout(\n", " title='2D Chroma Vector Store Visualization',\n", " scene=dict(xaxis_title='x',yaxis_title='y'),\n", " width=800,\n", " height=600,\n", " margin=dict(r=20, b=10, l=10, t=40)\n", ")\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 16, "id": "e1418e88-acd5-460a-bf2b-4e6efc88e3dd", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hoverinfo": "text", "marker": { "color": [ "red", "red", "red", "red", "red", "green", "red", "orange", "green", "red", "red", "red", "red", "blue", "green", "blue", "red", "red", "green", "green", "blue", "red", "red", "green", "red", "green", "green", "blue", "red", "red", "green", "red", "blue", "red", "blue", "green", "red", "red", "red", "orange", "blue", "red", "green", "green", "red", "green", "red", "red", "green", "blue", "green", "green", "red", "red", "green", "red", "green", "red", "green", "green", "red", "red", "red", "red", "blue", "green", "green", "green", "red", "blue", "red", "blue", "green", "red", "green", "red", "orange", "green", "red", "green", "green", "green", "green", "red", "green", "green", "green", "green", "green", "red", "blue", "green", "red", "green", "green", "green", "blue", "green", "red", "blue", "red", "red", "green", "red", "blue", "blue", "blue", "red", "green", "blue", "red", "green", "red", "green", "red", "blue", "green", "red", "green", "blue", "green", "red", "blue" ], "opacity": 0.8, "size": 5 }, "mode": "markers", "text": [ "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Insurellm will provide 24/7 customer support to TechDrive Insur...", "Type: contracts
Text: 1. **Core Functionality**: Rellm provides EverGuard Insurance with advanced AI-driven analytics, sea...", "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Belvedere Insurance will benefit from Markellm's AI-powered ...", "Type: contracts
Text: 1. **Technical Support**: Provider shall offer dedicated technical support to the Client via phone, ...", "Type: contracts
Text: 1. **AI-Powered Risk Assessment:** Access to advanced AI algorithms for real-time risk evaluations.\n...", "Type: employees
Text: - **2017-2019:** Marketing Intern \n - Assisted with market research and campaign development for s...", "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: This Agreement may be renewed for additional one-year terms upon mu...", "Type: company
Text: # Overview of Insurellm\n\nInsurellm is an innovative insurance tech firm with 200 employees across th...", "Type: employees
Text: - **January 2017 - May 2018**: Marketing Intern \n - Supported the Marketing team by collaborating ...", "Type: contracts
Text: # Contract with Greenstone Insurance for Homellm\n\n---\n\n## Terms\n\n1. **Parties**: This Contract (\"Agr...", "Type: contracts
Text: ## Features\nStellar Insurance Co. will receive access to the following features of the Rellm product...", "Type: contracts
Text: 1. **Customer Support**: Insurellm will provide EverGuard Insurance with 24/7 customer support, incl...", "Type: contracts
Text: ---\n\n## Features\n\n1. **Access to Core Features**: Roadway Insurance Inc. will have access to all Pro...", "Type: products
Text: ### 5. Multi-Channel Integration\nHomellm seamlessly integrates into existing insurance platforms, pr...", "Type: employees
Text: - **2021**: *Exceeds Expectations* \n Maxine spearheaded the transition to a new data warehousing s...", "Type: products
Text: # Product Summary\n\n# Markellm\n\n## Summary\n\nMarkellm is an innovative two-sided marketplace designed ...", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This Agreement will automatically renew for successive one-yea...", "Type: contracts
Text: ## Support\n1. **Technical Support**: Insurellm shall provide 24/7 technical support via an email and...", "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary: $80,000 \n- **2021:** Base Salary Increase to $90,0...", "Type: employees
Text: # Avery Lancaster\n\n## Summary\n- **Date of Birth**: March 15, 1985 \n- **Job Title**: Co-Founder & Ch...", "Type: products
Text: Join the growing number of organizations leveraging Rellm to enhance their reinsurance processes whi...", "Type: contracts
Text: # Contract with Apex Reinsurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Terms\n\n1....", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract shall automatically renew for additional one-yea...", "Type: employees
Text: ## Compensation History\n| Year | Base Salary | Bonus | Total Compensation |\n|------|--------...", "Type: contracts
Text: # Contract with TechDrive Insurance for Carllm\n\n**Contract Date:** October 1, 2024 \n**Contract Dura...", "Type: employees
Text: Emily Carter exemplifies the kind of talent that drives Insurellm's success and is an invaluable ass...", "Type: employees
Text: - **2018**: **Exceeds Expectations** \n Under Avery’s pivoted vision, Insurellm launched two new su...", "Type: products
Text: # Product Summary\n\n# Carllm\n\n## Summary\n\nCarllm is an innovative auto insurance product developed by...", "Type: contracts
Text: ### Termination\nEither party may terminate this agreement with a **30-day written notice**. In the e...", "Type: contracts
Text: **Signatures:** \n_________________________ _________________________ \n**...", "Type: employees
Text: ## Compensation History\n- **2020:** Base Salary - $55,000 \n The entry-level salary matched industr...", "Type: contracts
Text: # Contract with GreenValley Insurance for Homellm\n\n**Contract Date:** October 6, 2023 \n**Contract N...", "Type: products
Text: ### For Insurance Companies:\n- **Basic Listing Fee**: $199/month for a featured listing on the platf...", "Type: contracts
Text: ## Support\nInsurellm provides Stellar Insurance Co. with the following support services:\n\n- **24/7 T...", "Type: products
Text: Experience the future of reinsurance with Rellm, where innovation meets reliability. Let Insurellm h...", "Type: employees
Text: ## Compensation History\n- **2015**: $150,000 base salary + Significant equity stake \n- **2016**: $1...", "Type: contracts
Text: **TechDrive Insurance Representative:** \nName: Sarah Johnson \nTitle: Operations Director \nDate: _...", "Type: contracts
Text: 3. **Training and Onboarding:** \n Insurellm agrees to provide one free training session on how to...", "Type: contracts
Text: ## Support\n1. **Customer Support Access**: The Client will have access to dedicated support through ...", "Type: company
Text: # Careers at Insurellm\n\nInsurellm is hiring! We are looking for talented software engineers, data sc...", "Type: products
Text: # Product Summary\n\n# Rellm: AI-Powered Enterprise Reinsurance Solution\n\n## Summary\n\nRellm is an inno...", "Type: contracts
Text: 4. **Payment Terms**: \n - The Customer shall pay an amount of $10,000 per month for the Standard T...", "Type: employees
Text: # HR Record\n\n# Samuel Trenton\n\n## Summary\n- **Date of Birth:** April 12, 1989 \n- **Job Title:** Sen...", "Type: employees
Text: ## Annual Performance History\n- **2018**: **3/5** - Adaptable team player but still learning to take...", "Type: contracts
Text: # Contract with Pinnacle Insurance Co. for Homellm\n\n## Terms\nThis contract (\"Contract\") is entered i...", "Type: employees
Text: ## Annual Performance History\n- **2023:** Rating: 4.5/5 \n *Samuel exceeded expectations, successfu...", "Type: contracts
Text: **Insurellm, Inc.** \n_____________________________ \nAuthorized Signature \nDate: ________________...", "Type: contracts
Text: ---\n\n## Features\n\n- **AI-Powered Risk Assessment**: Customer will have access to enhanced risk evalu...", "Type: employees
Text: - **2022**: **Satisfactory** \n Avery focused on rebuilding team dynamics and addressing employee c...", "Type: products
Text: ### Q3 2025\n- Initiate a comprehensive marketing campaign targeting both consumers and insurers to i...", "Type: employees
Text: # HR Record\n\n# Oliver Spencer\n\n## Summary\n- **Date of Birth**: May 14, 1990 \n- **Job Title**: Backe...", "Type: employees
Text: # HR Record\n\n# Jordan K. Bishop\n\n## Summary\n- **Date of Birth:** March 15, 1990\n- **Job Title:** Fro...", "Type: contracts
Text: ## Features\n1. **AI-Powered Risk Assessment**: Utilized for tailored underwriting decisions specific...", "Type: contracts
Text: # Contract with Belvedere Insurance for Markellm\n\n## Terms\nThis Contract (\"Agreement\") is made and e...", "Type: employees
Text: ## Annual Performance History\n- **2019:** Exceeds Expectations - Continuously delivered high-quality...", "Type: contracts
Text: ## Support\n1. **Technical Support**: Technical support will be available from 9 AM to 7 PM EST, Mond...", "Type: employees
Text: ## Other HR Notes\n- Jordan K. Bishop has been an integral part of club initiatives, including the In...", "Type: contracts
Text: 4. **Usage Rights**: EverGuard Insurance is granted a non-exclusive, non-transferable license to acc...", "Type: employees
Text: ## Compensation History\n- **March 2018**: Initial salary of $80,000.\n- **July 2019**: Salary increas...", "Type: employees
Text: ## Compensation History\n- **2023:** Base Salary: $115,000 + Bonus: $15,000 \n *Annual bonus based o...", "Type: contracts
Text: ---\n\n**Signatures** \n**For Insurellm**: __________________________ \n**Name**: John Smith \n**Title...", "Type: contracts
Text: # Contract with Velocity Auto Solutions for Carllm\n\n**Contract Date:** October 1, 2023 \n**Contract ...", "Type: contracts
Text: 4. **Confidentiality:** Both parties agree to maintain the confidentiality of proprietary informatio...", "Type: contracts
Text: ---\n\n## Support\n\n1. **Technical Support**: Roadway Insurance Inc. will receive priority technical su...", "Type: products
Text: - **Professional Tier**: $2,500/month\n - For medium-sized companies.\n - All Basic Tier features pl...", "Type: employees
Text: # HR Record\n\n# Alex Harper\n\n## Summary\n- **Date of Birth**: March 15, 1993 \n- **Job Title**: Sales ...", "Type: employees
Text: - **Engagement in Company Culture:** Regularly participates in team-building events and contributes ...", "Type: employees
Text: ## Other HR Notes\n- Jordan has shown an interest in continuing education, actively participating in ...", "Type: contracts
Text: # Contract with EverGuard Insurance for Rellm: AI-Powered Enterprise Reinsurance Solution\n\n**Contrac...", "Type: products
Text: All tiers include a comprehensive training program and ongoing updates to ensure optimal performance...", "Type: contracts
Text: ## Support\n\n1. **Customer Support**: Velocity Auto Solutions will have access to Insurellm’s custome...", "Type: products
Text: # Product Summary\n\n# Homellm\n\n## Summary\nHomellm is an innovative home insurance product developed b...", "Type: employees
Text: - **2021**: \n - Performance Rating: Meets Expectations \n - Key Achievements: Contributed to the ...", "Type: contracts
Text: # Contract with Roadway Insurance Inc. for Carllm\n\n---\n\n## Terms\n\n1. **Agreement Effective Date**: T...", "Type: employees
Text: - **2023:** Base Salary - $70,000 \n Recognized for substantial improvement in employee relations m...", "Type: contracts
Text: # Contract with Stellar Insurance Co. for Rellm\n\n## Terms\nThis contract is made between **Insurellm*...", "Type: company
Text: # About Insurellm\n\nInsurellm was founded by Avery Lancaster in 2015 as an insurance tech startup des...", "Type: employees
Text: # Samantha Greene\n\n## Summary\n- **Date of Birth:** October 14, 1990\n- **Job Title:** HR Generalist\n-...", "Type: contracts
Text: # Contract with GreenField Holdings for Markellm\n\n**Effective Date:** November 15, 2023 \n**Contract...", "Type: employees
Text: ## Annual Performance History\n- **2017**: *Meets Expectations* \n Maxine showed potential in her ro...", "Type: employees
Text: ## Insurellm Career Progression\n- **January 2017 - October 2018**: **Junior Data Engineer** \n * Ma...", "Type: employees
Text: Alex Chen continues to be a vital asset at Insurellm, contributing significantly to innovative backe...", "Type: employees
Text: - **2010 - 2013**: Business Analyst at Edge Analytics \n Prior to joining Innovate, Avery worked as...", "Type: contracts
Text: ## Renewal\n1. **Automatic Renewal**: This contract will automatically renew for sequential one-year ...", "Type: employees
Text: ## Annual Performance History\n- **2020:** \n - Completed onboarding successfully. \n - Met expecta...", "Type: employees
Text: ## Compensation History\n- **June 2018:** Starting Salary - $85,000\n- **June 2019:** Salary Increase ...", "Type: employees
Text: ## Annual Performance History \n- **2022** - Rated as \"Exceeds Expectations.\" Alex Thomson achieved ...", "Type: employees
Text: ## Annual Performance History \n- **2021**: \n - **Performance Rating**: 4.5/5 \n - **Key Achievem...", "Type: employees
Text: # HR Record\n\n# Maxine Thompson\n\n## Summary\n- **Date of Birth:** January 15, 1991 \n- **Job Title:** ...", "Type: contracts
Text: 2. **Seamless Integrations**: The architecture of Rellm allows for easy integration with existing sy...", "Type: products
Text: - **Basic Tier:** Starting at $5,000/month for small insurers with basic integration features.\n- **S...", "Type: employees
Text: ## Annual Performance History\n- **2020:** Exceeds Expectations \n Samantha Greene demonstrated exce...", "Type: contracts
Text: 3. **Service Level Agreement (SLA):** \n Insurellm commits to a 99.9% uptime for the platform with...", "Type: employees
Text: # HR Record\n\n# Jordan Blake\n\n## Summary\n- **Date of Birth:** March 15, 1993 \n- **Job Title:** Sales...", "Type: employees
Text: # HR Record\n\n# Alex Chen\n\n## Summary\n- **Date of Birth:** March 15, 1990 \n- **Job Title:** Backend ...", "Type: employees
Text: ## Other HR Notes\n- Alex Thomson is an active member of the Diversity and Inclusion committee at Ins...", "Type: products
Text: - **Mobile Integration**: Carllm is designed to work seamlessly with mobile applications, providing ...", "Type: employees
Text: ## Other HR Notes\n- **Professional Development**: Avery has actively participated in leadership trai...", "Type: contracts
Text: ## Features\n1. **AI-Powered Matching**: Access to advanced algorithms that connect GreenField Holdin...", "Type: products
Text: ### Regulatory Compliance Tools\nRellm includes built-in compliance tracking features to help organiz...", "Type: contracts
Text: ## Renewal\n\n1. **Automatic Renewal**: This contract will automatically renew for successive 12-month...", "Type: contracts
Text: 3. **Regular Updates:** Insurellm will offer ongoing updates and enhancements to the Homellm platfor...", "Type: employees
Text: ## Annual Performance History\n- **2021:** First year at Insurellm; achieved 90% of monthly targets. ...", "Type: contracts
Text: ______________________________ \n[Name], [Title] \nDate: ______________________\n\n**For Greenstone In...", "Type: products
Text: With Homellm, Insurellm is committed to transforming the landscape of home insurance, ensuring both ...", "Type: products
Text: - **Customer Support**: Our dedicated support team is always available to assist both consumers and ...", "Type: products
Text: ### Q2 2025: Customer Experience Improvements\n- Launch of a new **mobile app** for end-users.\n- Intr...", "Type: contracts
Text: ---\n\n## Renewal\n\n1. **Automatic Renewal**: This agreement will automatically renew for an additional...", "Type: employees
Text: - **Professional Development Goals**: \n - Emily Tran aims to become a Marketing Manager within the...", "Type: products
Text: - **Instant Quoting**: With Carllm, insurance companies can offer near-instant quotes to customers, ...", "Type: contracts
Text: - **Customer Portal**: A dedicated portal will be provided, allowing the Customer's clients to manag...", "Type: employees
Text: # HR Record\n\n# Emily Tran\n\n## Summary\n- **Date of Birth:** March 18, 1991 \n- **Job Title:** Digital...", "Type: contracts
Text: ## Renewal\n1. **Renewal Terms**: At the end of the initial term, this Contract shall automatically r...", "Type: employees
Text: - **2022**: \n - **Base Salary**: $65,000 (Promotion to Senior SDR) \n - **Bonus**: $13,000 (20% o...", "Type: contracts
Text: 2. **Real-Time Quote Availability:** \n Consumers sourced via BrightWay Solutions will receive rea...", "Type: products
Text: - **User-Friendly Interface**: Designed with user experience in mind, Markellm features an intuitive...", "Type: employees
Text: # HR Record\n\n# Emily Carter\n\n## Summary\n- **Date of Birth:** August 12, 1990 \n- **Job Title:** Acco...", "Type: contracts
Text: # Contract with BrightWay Solutions for Markellm\n\n**Contract Date:** October 5, 2023 \n**Contract ID...", "Type: employees
Text: # HR Record\n\n# Alex Thomson\n\n## Summary\n- **Date of Birth:** March 15, 1995 \n- **Job Title:** Sales...", "Type: products
Text: ### Seamless Integrations\nRellm's architecture is designed for effortless integration with existing ...", "Type: employees
Text: ## Compensation History\n- **2017**: $70,000 (Junior Data Engineer) \n- **2018**: $75,000 (Junior Dat...", "Type: contracts
Text: **Belvedere Insurance** \nSignature: ______________________ \nName: [Authorized Signatory] \nTitle: ...", "Type: products
Text: ### 2. Dynamic Pricing Model\nWith Homellm's innovative dynamic pricing model, insurance providers ca..." ], "type": "scatter3d", "x": [ 43.873768, 24.549671, 19.362984, 46.419304, 11.502457, -69.916824, 50.853607, -32.366093, -23.414364, 35.146988, 8.691704, -61.941353, 17.735527, -10.480556, 23.433657, -103.67928, 17.679888, -65.23913, -10.3073435, -5.3217616, -37.616405, 88.16921, 54.452343, 92.96912, 72.869026, -40.249466, 14.990052, -45.474247, 45.434433, 3.7420144, -81.09972, 83.62818, 25.337687, 28.48447, -34.1026, -97.84449, 57.072834, -20.124098, 49.504566, -39.10421, -11.5530405, 83.90945, -24.02316, -58.6663, 99.65444, -63.961037, -0.19897196, -5.152599, 15.183086, -34.606255, 1.7023447, 1.6392047, 1.0666041, 40.32646, -50.408436, 25.268328, 16.369486, 49.219875, -85.39151, -80.12402, -12.379529, 67.397064, 72.76301, 63.1099, 21.62418, -9.797589, -27.42785, 27.881025, 68.11066, -36.38795, 38.447433, -36.86875, -59.92758, 87.12151, -71.97976, 45.905914, -34.157642, -49.859905, 63.915585, -85.87703, -4.1064878, -30.27556, 11.902694, 73.70026, -68.004074, -96.667984, -49.38981, -65.38877, -12.876695, 7.448415, 47.493164, -63.722424, 22.687176, -24.19834, 2.9561794, 36.86524, -36.982365, -7.1212754, 12.551979, 26.514229, 47.695892, 61.603027, -68.79805, -2.1748111, 44.69687, 8.350849, -45.561237, 73.68135, -27.50859, -25.023783, 39.615105, -20.890532, 58.039024, -37.577923, 5.259764, -7.7529173, -28.630394, 26.794352, 28.222141, -3.9955337, -26.67335, 0.1906559, -17.153961 ], "y": [ -0.38024104, 43.923573, -26.829323, -13.823272, -73.25938, -15.331751, -98.6759, -29.807783, -31.661137, -33.22601, 22.059368, -15.814253, -52.114193, -52.110584, 57.73972, -17.347408, -73.24997, -48.958443, 58.473343, -1.8020405, 20.654669, 15.998996, -35.720627, -40.064705, -0.6276664, 7.40291, 16.715147, -35.779842, -73.25377, -1.9503448, 44.63278, -30.34437, 7.747794, 8.964272, 4.9251757, 43.56231, 19.676996, 95.665886, 3.9039097, -33.369038, 6.514613, -58.969494, 74.15892, -25.780117, -19.049274, 72.88606, -21.44085, -66.795265, 36.55762, 14.10614, 65.74505, 41.771954, -93.548, -10.0449, -3.9479465, -22.999212, 28.654316, 39.558563, 22.93589, 66.858505, -36.411533, -18.11228, -10.7279005, -14.614871, -34.682457, 46.588146, 71.82013, 85.552666, 24.8959, -76.75821, -10.723599, -64.25079, 42.79684, -25.128433, 61.59531, 16.855345, -12.988097, 54.176613, -15.310869, 10.6149435, 79.238625, -7.3463526, 14.155384, -86.57405, -2.7642958, 59.746956, 69.32658, 44.735275, 93.76345, 53.39235, 58.4271, 28.310705, -60.187767, 61.85429, 66.69081, 64.74261, -42.824673, -7.5116334, -92.05385, 26.275345, -41.942238, -44.240635, 19.443819, 8.427793, -68.42091, -7.674702, -4.85303, -57.54971, 32.48484, -28.053482, -48.841843, 37.34983, -78.73915, 39.889812, -40.450478, -4.020274, 35.339924, -31.439953, 51.987, 32.943783, 69.299286, -13.1561, -79.28089 ], "z": [ -40.976013, 26.698322, 87.961876, 18.507885, 20.50497, -32.044025, -4.351828, 12.171355, 106.290634, -72.38998, 25.184671, 17.912266, -12.080401, 26.006357, -77.525055, -25.634937, -38.70675, 1.7878698, 78.75375, -61.371674, 55.26292, 4.8723297, -34.95222, -67.21285, -28.009436, -25.14604, -104.58101, 43.82575, -29.650574, -24.763182, -46.77114, 30.888227, 80.86885, 17.094873, 26.339603, 1.3841752, -43.23418, 51.0993, 86.73803, -16.460333, 42.344784, 12.518593, -48.254765, -65.039856, 11.562118, -17.754656, -11.451693, -0.16949935, -96.85792, 84.29779, -47.6279, -35.126034, -1.8648548, 55.646404, -81.03546, 9.609435, -48.37301, 25.270716, -21.439577, 1.7136165, -38.651974, -9.334523, 36.36088, -54.453354, -39.071316, -6.025677, -80.62619, -36.362125, 16.41228, -10.153274, -18.856136, 26.483479, -19.100805, -28.66396, -61.91246, -1.5763708, -0.43964502, -55.10183, 68.2128, 43.421234, 15.349029, -42.28068, -80.64942, -11.574633, -62.93816, -22.248316, 5.740053, 11.253845, -13.849058, 45.41379, 62.001987, -66.363434, 59.602005, -22.150013, -23.558441, -11.535695, 71.14459, -82.293274, 39.24351, 50.46951, -14.737509, 41.954227, 4.2609615, -5.4839444, -67.88752, 69.29086, 65.539215, -21.728144, -80.07083, 52.126835, 20.967907, -56.424515, 4.0594573, 7.170308, 65.30641, 86.25123, -33.241055, 50.74341, -27.859438, 50.047924, 26.533693, 14.053484, 19.327614 ] } ], "layout": { "height": 700, "margin": { "b": 10, "l": 10, "r": 20, "t": 40 }, "scene": { "aspectmode": "auto", "aspectratio": { "x": 1.0029473755712754, "y": 0.9585944929967074, "z": 1.0401283266356427 }, "camera": { "center": { "x": 0, "y": 0, "z": 0 }, "eye": { "x": 0.6263260243823434, "y": -0.12457304730930983, "z": -2.068742919520326 }, "projection": { "type": "perspective" }, "up": { "x": 0, "y": 0, "z": 1 } }, "xaxis": { "title": { "text": "x" }, "type": "linear" }, "yaxis": { "title": { "text": "y" }, "type": "linear" }, "zaxis": { "title": { "text": "z" }, "type": "linear" } }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "3D Chroma Vector Store Visualization" }, "width": 900 } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Let's try 3D!\n", "\n", "tsne = TSNE(n_components=3, random_state=42)\n", "reduced_vectors = tsne.fit_transform(vectors)\n", "\n", "# Create the 3D scatter plot\n", "fig = go.Figure(data=[go.Scatter3d(\n", " x=reduced_vectors[:, 0],\n", " y=reduced_vectors[:, 1],\n", " z=reduced_vectors[:, 2],\n", " mode='markers',\n", " marker=dict(size=5, color=colors, opacity=0.8),\n", " text=[f\"Type: {t}
Text: {d[:100]}...\" for t, d in zip(doc_types, documents)],\n", " hoverinfo='text'\n", ")])\n", "\n", "fig.update_layout(\n", " title='3D Chroma Vector Store Visualization',\n", " scene=dict(xaxis_title='x', yaxis_title='y', zaxis_title='z'),\n", " width=900,\n", " height=700,\n", " margin=dict(r=20, b=10, l=10, t=40)\n", ")\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "9b3ada26-b4b7-42fc-b943-933c14adf89b", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 5 }