gabrielchua/RAGxplorer
Open-source tool to visualise your RAG 🔮
RAGxplorer helps developers understand and improve how their Retrieval Augmented Generation (RAG) systems find information. You input documents like PDFs and your system's queries, and it outputs visualisations that show how well your RAG system is retrieving relevant information. This tool is for AI/ML engineers and data scientists building and fine-tuning RAG applications.
1,217 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are developing RAG applications and need to visually diagnose why your system might be failing to retrieve the correct information from your documents for specific queries.
Not ideal if you are looking for a pre-built RAG application or a tool for general data visualization unrelated to RAG retrieval performance.
Stars
1,217
Forks
114
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 03, 2025
Commits (30d)
0
Dependencies
11
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/gabrielchua/RAGxplorer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
neo4j/neo4j-graphrag-python
Neo4j GraphRAG for Python
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
Hawksight-AI/semantica
Semantica 🧠— A framework for building semantic layers, context graphs, and decision...
FalkorDB/GraphRAG-SDK
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
getzep/graphiti
Build Real-Time Knowledge Graphs for AI Agents