rag

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

docs.danswer.dev/

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

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

🤖 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/Cinnamon/kotaemon

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

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

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

https://github.com/topoteretes/cognee Deterministic LLMs Outputs for AI Applications and AI Agents

🔧🔗https://github.com/getzep/graphiti

Build and query dynamic, temporally-aware Knowledge Graphs

Domain Adapted Language Modeling Toolkit - E2E RAG

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

Langchain Chat over Documents + Zep Memory

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

🔧🔗 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/ai-engineer-workshop Building, Evaluating, and Optimizing your RAG App for Production

https://github.com/run-llama/modal_finetune_sql finettune llama against a sqldb

Build ChatGPT over your data, all with natural language

https://github.com/run-llama/llamabot A Retrieval-Augmented GenAI Slackbot in LlamaIndex

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

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

The first RAG retriever tuned particularly for code and code Llama