husaynirfan1/simple-rag
Simple RAG system powered by Milvus.
This system helps you build a chatbot that can answer questions based on your specific documents, even handling multi-turn conversations. You feed it your text data (like news articles or reports), and it provides a conversational interface that intelligently retrieves and synthesizes information from those documents. It's designed for anyone who needs to quickly deploy a Q&A system over a large corpus of text.
No commits in the last 6 months.
Use this if you need a scalable solution to create an interactive Q&A agent that can have natural, multi-turn conversations using information from your own text documents.
Not ideal if you're looking for a simple, lightweight tool for basic keyword search or if you don't need conversational capabilities over custom data.
Stars
20
Forks
—
Language
Python
License
MIT
Category
Last pushed
Apr 03, 2025
Commits (30d)
0
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