lm-rag-techniques and rag-evaluation

About lm-rag-techniques

NamaWho/lm-rag-techniques

Question-Answering (QA) system powered by Retrieval-Augmented Generation (RAG). The system leverages advanced methods such as Rank Fusion and Cascading Retrieval for optimized document retrieval and contextual QA generation.

About rag-evaluation

0xshre/rag-evaluation

A QA RAG system that uses a custom chromadb to retrieve relevant passages and then uses an LLM to generate the answer.

This project helps evaluate and improve question-answering systems built using Retrieval-Augmented Generation (RAG). You feed in documents and questions, and it generates answers while also providing a detailed report on how accurate and relevant the answers are. It's for data scientists and AI engineers who are developing or fine-tuning RAG-based chatbots or knowledge retrieval tools.