talk-to-django by codingforentrepreneurs

Intuitive RAG system on top of LllamaIndex. Maintained by Zakk-Yang on GitHub, where it has earned 15 stars from the community.

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc. Maintained by swastikmaiti on GitHub, where it has earned 14 stars from the community.

Multimodal RAG ingests PDFs and generates combined text and image outputs by retrieving and grounding relevant information from the documents. Maintained by deep-div on GitHub, where it has earned 29 stars from the community.