kaizenX209/Build-An-LLM-RAG-Chatbot-With-LangChain-Python

Build-An-LLM-RAG-Chatbot-With-LangChain-Python

36
/ 100
Emerging

This project helps you quickly build a custom AI chatbot that can answer questions based on your specific documents or website content. You provide the text data, either from local JSON files or URLs, and the chatbot processes it to answer user questions contextually. It's designed for anyone who needs to create an intelligent Q&A system from their own knowledge base, like customer support teams, educators, or content managers.

No commits in the last 6 months.

Use this if you want to create a chatbot that provides accurate answers by searching through your own documents or website content.

Not ideal if you're looking for a general-purpose chatbot without a need to ground its responses in specific, custom data.

knowledge-management customer-support-automation information-retrieval content-Q&A document-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 20 / 25

How are scores calculated?

Stars

60

Forks

26

Language

Python

License

Last pushed

Nov 13, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/kaizenX209/Build-An-LLM-RAG-Chatbot-With-LangChain-Python"

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