sanjeevani1193/Conversational-Book-Recommendation-Assistant-using-RAG

Conversational book recommendation assistant using a RAG-style pipeline that turns user's natural-language query into focused tags, retrieves books from public APIs, cleans and ranks results, and returns more relevant recommendations through a Streamlit app.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Jupyter Notebook

License

Category

retrieval

Last pushed

Apr 02, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/sanjeevani1193/Conversational-Book-Recommendation-Assistant-using-RAG"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.