ngshya/mas-is-all-you-need
Retrieval-Augmented Generation (RAG) + Multi-Agent Systems (MAS)
This project helps you get more accurate and relevant answers from large document collections like internal company wikis or research papers. You provide your documents, and it helps you ask questions and receive well-researched answers, much like consulting a team of experts. This is ideal for researchers, business analysts, or anyone who needs to quickly find precise information within a vast sea of text.
No commits in the last 6 months.
Use this if you need to extract precise, synthesized information from extensive document sets and want to go beyond basic keyword searches to get more nuanced answers.
Not ideal if you're looking for a simple search engine for general web queries or don't have a large, specific set of documents you need to query.
Stars
9
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4
Language
Python
License
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Category
Last pushed
Jan 16, 2025
Commits (30d)
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