vectorstore

There are 53 repositories under vectorstore topic.

  • h2oai/h2ogpt

    Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

    Language:Python11.1k1581.1k1.2k

  • SamurAIGPT/EmbedAI

    An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

    Language:JavaScript2.8k3369299

  • grumpyp/aixplora

    AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.

    Language:TypeScript25848331

  • hkh1012/langboot

    Using Langchain's ideas to build SpringBoot AI applications | 用langchain的**，构建SpringBoot AI应用

    Language:Java1481349

  • linjungz/chat-with-your-doc

    Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

    Language:Python13452346

  • redis-developer/LLM-Document-Chat

    Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog

    Language:Jupyter Notebook1036320

  • Safakan/TalkWithYourFiles

    An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

    Language:Python874114

  • Abhi5h3k/PrivateDocBot

    📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy

    Language:Python652516

  • mariochavez/chroma

    Ruby client for Chroma DB

    Language:Jupyter Notebook60175

  • mamadoudicko/quivr-chatbot

    🧠 Quivr Chatbot extension - Instantly access Quivr, dump your files and chat with them using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠

    Language:TypeScript51317
  • VectorVerse

    abhishek-ch/VectorVerse

    Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models

    Language:Python46649

  • suryanshgupta9933/Law-GPT

    Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.

    Language:Python281218

  • ToxyBorg/Hugging-Face-Hub-Langchain-Document-Embeddings

    Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering

    Language:Python28106

  • shiyindaxiaojie/eden-aigc-qna

    AIGC 知识库问答系统快速搭建，便于企业级定制化，支持文档上传，向量存储，聊天式问答。

    Language:Python23216
  • vexvault

    Xyntopia/vexvault

    browser based vector storage

    Language:TypeScript19112

  • asehmi/docs-n-data-knowledge-app

    Integrated LLM-based document and data Q&A with knowledge graph visualization

    Language:Python16405

  • unnikked/NotionRag

    Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit

    Language:Python15302

  • aws-samples/gofast-hnsw

    This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."

    Language:Jupyter Notebook13200

  • gzlliyu/chatStreamAiAgent

    使用LLM大模型、langchain、fastapi、agent等技术实现ai和用户聊天，并且支持本地向量库、api接口工具，支持http sse流式输出

    Language:Python13201

  • amellouki/cogniverse

    Create LLM powered bots and port them into Discord & Slack

    Language:TypeScript12101

  • minkj1992/jarvis

    Customized bot with langchain and gpt4

    Language:Python122120

  • hupe1980/vecgo

    🧬🔍🗄️ Unlock the power of vector indexing and search in your Go applications with the HNSW algorithm for approximate nearest neighbor search, seamlessly embedded within your application.

    Language:Go920

  • 3zcurdia/chroma

    ChromaDB Client for elixir

    Language:Elixir8311

  • younesbram/chat-with-repo

    Ingest GitHub repo data into vectorstore with LangChain and create seamless Streamlit chatbot using GPT-4

    Language:Python8101

  • thijse/MemoryVectorStore

    Sample of implementing a simple in-memory vector store

    Language:C#6101

  • zzstoatzz/raggy

    scraping and querying documents for LLMs

    Language:Python6100

  • AliOsm/chromable

    Ruby on Rails integration for ChromaDB

    Language:Ruby514

  • jolual2747/rag-architecture

    RAG Architecture for Modern Chatbots

    Language:Python5

  • Benja1972/VectorDB

    Vector databases experimentation for the Knowledge Graphs and sentenceBERT embedding

    Language:Python4200

  • bluetickconsultants/generative-AI

    Generative AI projects using openAI, llama, langchain, vectordb

    Language:Jupyter Notebook3101

  • jorge-armando-navarro-flores/chat_with_your_docs

    Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions.

    Language:Python3201

  • architectpub/large-model

    A list of almost all LMs (large model),include LLMs

    2101

  • daixba/langchain-tutorials

    Tutorials for LangChain

    Language:Jupyter Notebook2101
  • chat-langchain-nextjs

    webreactiva-devs/chat-langchain-nextjs

    Chat para hablar con tus datos y OpenAI

    Language:TypeScript2200

  • PavAI-Research/tiny-vector-store

    The implementation of vector store build from scratch with minimal dependencies for text embedding and similarity search.

    Language:Python1

  • RaheesAhmed/openai-embeddings-api

    Nodejs a REST API is designed to provide users with an interactive chat interface where they can ask questions and receive responses generated by an AI model. The application utilizes OpenAI embeddings and Langchain to process the user's input and generate relevant responses based on the context of the conversation.

    Language:JavaScript1100