R

Retrieval Augmented Generation

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

docs.danswer.dev/

A multi-user ChatGPT for any LLMs and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application with a built-in LLM!

🔧🔗https://github.com/open-webui/open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

🕸️🔗https://openwebui.com/

🔧🔗https://github.com/HKUDS/LightRAG

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/brianstm/obsidian-vault-llm-assistant

An obsidian notebook plugin that uses LLM (OpenAI or Gemini) to answer questions and create new n

🔧🔗https://github.com/mendableai/firecrawl-app-examples 🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

🔧🔗https://github.com/gabosgab/ObsidianPrivateAI A plugin for obsidian that makes it easy to interact with a local LLM

🔧🔗https://github.com/modelscope/modelscope-agent

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

🔧🔗https://github.com/HKUDS/MiniRAG

"MiniRAG: Making RAG Simpler with Small and Free Language Models"

🔧🔗https://github.com/manimohans/obsidian-local-llm-helper Seamlessly integrate your local LLM with Obsidian. Process large text chunks, transform content with AI, chat with your notes and maintain data privacy — all without leaving your notes.

🔧🔗https://github.com/jjwheatley/mini-rag Local Retrieval Augmented Generation for your Obsidian notes

🔧🔗https://github.com/Cinnamon/kotaemon

An open-source RAG-based tool for chatting with your documents. 🕸️🔗https://cinnamon.github.io/kotaemon/

🔧🔗https://github.com/Gurubase/gurubase Gurubase lets you add an "Ask AI" button to your technical docs, turning your content into an AI assistant. It uses web pages, PDFs, YouTube videos, and GitHub repos as sources to generate instant, accurate answers with references. Deploy it via Slack, Discord, GitHub or a web widget.

https://github.com/run-llama/sec-insights A real world full-stack application using LlamaIndex

🔧🔗https://github.com/poloclub/mememo

A JavaScript library that brings vector search and RAG to your browser!

🔧🔗 Ragdaemon Ragdaemon is a Retrieval-Augmented Generation (RAG) system for code. It runs a daemon (background process) to watch your active code, put it in a knowledge graph Generate and render a 3d call graph for a Python project

https://github.com/run-llama/mongodb-demo LlamaIndex retrieval augmented generation with MongoDB, Flask and Next.js