JGalego/RAGmap
A simple Streamlit application to visualize document chunks and queries in embedding space 🗺️🔍
This tool helps you visually understand how your documents and search queries relate to each other in a RAG (Retrieval Augmented Generation) system. You input various document types like PDFs or Word files, along with your natural language questions. It outputs interactive 2D or 3D maps, showing you which parts of your documents are most relevant to your queries, helping you refine your search strategy or improve your RAG application. Anyone building or troubleshooting a RAG system, such as AI engineers or data scientists, would find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you need to visually debug and explore the relationship between your RAG system's documents and user queries to ensure accurate information retrieval.
Not ideal if you are looking for a tool to build or deploy a RAG system from scratch, as this focuses specifically on visualization and analysis.
Stars
13
Forks
3
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2025
Commits (30d)
0
Dependencies
13
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/JGalego/RAGmap"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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