RAG Document Relevance Analyzer
7.2
A tool to analyze and optimize the relevance of documents retrieved in Retrieval Augmented Generation (RAG) systems, improving answer accuracy by identifying and prioritizing high-quality documents. It helps pinpoint where retrieval quality is failing.
140h
mvp estimate
7.2
viability grade
1
views
technology stack
Python
PostgreSQL
NodeJS
Medium
inspired by
The LLM Is Not the Hard Part of RAG