Taha0229/self-reflective-RAG
Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.
This project helps businesses answer complex questions by combining information from various sources like internal PDFs, website content, and SQL databases. It takes a user's question and provides a reliable, accurate answer by intelligently routing the query to the best knowledge source and refining the response through a self-correction process. Business analysts, customer support teams, or operations managers who need quick, verified answers from diverse company data would find this useful.
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Use this if you need a system that can accurately answer business-related questions by pulling information from a mix of internal documents, company databases, and external web sources, while also ensuring the answers are reliable and free from hallucinations.
Not ideal if you primarily need a simple chatbot for casual conversation or if your data sources are extremely limited and static, as the strength of this project lies in its ability to integrate and reflect on multiple, dynamic knowledge bases.
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Jul 08, 2024
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