vectorstore

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/

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

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

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

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.

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

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

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

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

Ruby client for Chroma DB

🧠 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 🧠

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

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

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。

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

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

browser based vector storage

scraping and querying documents for LLMs

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

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."