Retrieval Augmented Generation

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

🔧🔗https://github.com/modelscope/evalscope A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

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/topoteretes/cognee Deterministic LLMs Outputs for AI Applications and AI Agents

🔧🔗https://github.com/llmware-ai/llmware

Unified framework for building enterprise RAG pipelines with small, specialized models

🕸️🔗https://llmware-ai.github.io/llmware/

https://github.com/run-llama/llama_parse Parse files for optimal RAG

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

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

https://github.com/InternLM/HuixiangDou HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

🔧🔗https://github.com/getzep/graphiti

Build and query dynamic, temporally-aware Knowledge Graphs

🔧🔗https://github.com/getzep/zep-python

Zep: Long-Term Memory for ‍AI Assistants (Python Client)

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 https://github.com/decodingml/llm-twin-course

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

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

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

docs.danswer.dev/

🔧🔗https://github.com/poloclub/mememo

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

Domain Adapted Language Modeling Toolkit - E2E RAG

🔧🔗https://github.com/getzep/chat-langchain-with-zep

Langchain Chat over Documents + Zep Memory

🔧🔗https://github.com/getzep/zepcli

zepcli - a command line tool for managing the Zep service.

🔧🔗 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/finetune-embedding Fine-Tuning Embedding for RAG with Synthetic Data deprecated

https://github.com/run-llama/ai-engineer-workshop Building, Evaluating, and Optimizing your RAG App for Production