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/

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

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

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

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

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

Rust-based retrieval system with hybrid search (vector + BM25), async ingestion, and gRPC-first API