avrabyt/RAG-Chatbot

RAG enabled Chatbots using LangChain and Databutton

48
/ 100
Emerging

This tool helps you quickly get answers from large PDF documents without manually searching through pages. You provide one or more PDF files, and the tool processes them to create a conversational interface. Anyone who needs to extract specific information or answers from extensive document collections, like researchers, analysts, or students, would find this valuable.

166 stars. No commits in the last 6 months.

Use this if you need to build a chatbot that can accurately answer questions by referencing information directly from your own PDF documents.

Not ideal if you need a chatbot with the ability to remember past conversations for personalized follow-up, as this version focuses solely on document retrieval.

document-analysis information-retrieval research-assistant knowledge-base-query pdf-interrogation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

166

Forks

52

Language

Python

License

MIT

Last pushed

Nov 06, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/avrabyt/RAG-Chatbot"

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