yarikama/Agentic-Advanced-RAG
Building a multi-agent RAG system with advanced RAG methods
This project helps you answer complex questions by combining different search strategies. It takes your documents and a question as input, then smartly retrieves both high-level summaries and specific details from your content. It's designed for data analysts, researchers, or anyone needing comprehensive answers from large text corpuses without incurring high indexing costs.
No commits in the last 6 months.
Use this if you need to extract both broad insights and granular facts from a large collection of documents to answer complex queries efficiently.
Not ideal if your queries are always simple and require only a single, straightforward piece of information, as the setup might be more complex than necessary.
Stars
12
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 12, 2025
Commits (30d)
0
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