gabrielchua/RAGxplorer

Health v2 · maintenance only

Adoption not part of the score

1220 stars · 112 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RAGxplorer is a Python library and hosted Streamlit app for visualizing Retrieval Augmented Generation pipelines. It chunks PDFs, embeds them, and plots the chunks in an interactive space so you can see which documents are retrieved for a query.

Use cases

• visualize rag retrieval results
• debug which chunks a query retrieves
• explore embeddings of pdf documents in 2d
• understand chunking and retrieval for a rag pipeline
• demo rag retrieval interactively in streamlit

When to choose

• you want to inspect or explain how a RAG system retrieves chunks
• you need a quick interactive visualization of embeddings and retrieval
• you are teaching or learning how RAG retrieval works

When to avoid

• you need a production RAG framework rather than a visualization tool
• your documents are not PDFs or simple text
• you need heavy customization of embedding or retrieval backends

Facets

library · maturity active

rag data-visualization machine-learning pdf large-language-models data-visualization machine-learning python streamlit embeddings chunking jupyter-notebook developer-tools retrieval-augmented-generation web

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gabrielchua/RAGxplorer")