samadpls/BestRAG
BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.
This library helps developers create systems that can efficiently search and retrieve information from large collections of documents, especially PDFs, to answer user questions. It takes PDF documents as input and stores them in a smart way, allowing for powerful searches that return relevant document snippets. AI engineers and machine learning practitioners building intelligent search or question-answering applications would find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you are building an AI application that needs to find precise answers or relevant information within many documents, like internal company knowledge bases or research papers.
Not ideal if you simply need to store documents without advanced search capabilities or if your primary goal is text generation without retrieval.
Stars
19
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 31, 2024
Commits (30d)
0
Dependencies
4
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