pchunduri6/rag-demystified
An LLM-powered advanced RAG pipeline built from scratch
This project helps anyone who needs to answer complex questions by pulling information from various sources like documents or tables. It takes your multi-part question and a collection of your data (e.g., Wikipedia articles, internal reports) as input. It then generates a clear, accurate answer, citing the specific data used, which is particularly useful for analysts, researchers, or anyone needing reliable, sourced information.
860 stars. No commits in the last 6 months.
Use this if you need to build a robust question-answering system that can handle complex queries across multiple data sources and provides transparent, traceable answers.
Not ideal if you are looking for a simple, off-the-shelf solution without needing to understand or customize the underlying mechanics of how it works.
Stars
860
Forks
54
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 26, 2024
Commits (30d)
0
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