vectorstore
There are 5 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://gpt-docs.h2o.ai/
Language:Python 11526SamurAIGPT / EmbedAI
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
Language:JavaScript 2800grumpyp / aixplora
AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
Language:TypeScript 267hkh1012 / langboot
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的**，构建SpringBoot AI应用
Language:Java 161jorge-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:Python 142linjungz / 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:Python 140redis-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 Notebook 108safakan / TalkWithYourFiles
An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.
Language:Python 90Abhi5h3k / PrivateDocBot
📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy
Language:Python 78- Language:Jupyter Notebook 68
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:TypeScript 55- VectorVerse
abhishek-ch / VectorVerse
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Language:Python 48 suryanshgupta9933 / Law-GPT
Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.
Language:Python 38ToxyBorg / Hugging-Face-Hub-Langchain-Document-Embeddings
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering
Language:Python 29shiyindaxiaojie / 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:Python 27unnikked / NotionRag
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
Language:Python 23asehmi / docs-n-data-knowledge-app
Integrated LLM-based document and data Q&A with knowledge graph visualization
Language:Python 20- vexvaultLanguage:TypeScript 20
- Language:Python 17
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:Python 14amellouki / cogniverse
Create LLM powered bots and port them into Discord & Slack
Language:TypeScript 13aws-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 Notebook 13- Language:Python 12
- Language:Elixir 10
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:Go 10- Language:Ruby 9
younesbram / chat-with-repo
Ingest GitHub repo data into vectorstore with LangChain and create seamless Streamlit chatbot using GPT-4
Language:Python 9thijse / MemoryVectorStore
Sample of implementing a simple in-memory vector store
Language:C# 7jolual2747 / rag-architecture
RAG Architecture for Modern Chatbots
Language:Python 6bluetickconsultants / generative-AI
Generative AI projects using openAI, llama, langchain, vectordb
Language:Jupyter Notebook 5Benja1972 / VectorDB
Vector databases experimentation for the Knowledge Graphs and sentenceBERT embedding
Language:Python 4RaheesAhmed / 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:JavaScript 4- Language:Jupyter Notebook 3
JackBekket / Reflexia
Autodoc project, aimed to autonomously generating documentation for any code repository and store info about it in vectorstore to further interactions
Language:Go 3yorek / azure-sql-db-ai-samples-search
A practical sample of RAG pattern applied to a real-world use case: make finding samples using Azure SQL easier and more efficient!
Language:TSQL 3stylepatrick / spring-ai-chat-bot
Demonstrates various AI functionalities using Spring AI, including chat responses, JSON data handling, image creation and description, real-time data loading, text-to-speech, and vector store usage.
Language:Java 2
