rigvedrs/RAGIndex

LlamaIndex Powered RAG for PDF, TXT and DOCX files with Tesseract OCR support, Semantic chunking, Document citations with direct page display, Advanced Caching and Duplicate Detection with Redis Vector DB

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Experimental

This tool helps you turn your collection of PDFs, Word documents, and text files into a smart question-and-answer system. Simply upload your documents, and it processes them to create a searchable knowledge base. You can then ask questions about the content, and it will provide answers, citing the exact document and page where the information was found. It's designed for anyone who needs to quickly find specific information across many documents without manually reading through them.

Use this if you need to quickly get accurate, cited answers from a large collection of business documents, research papers, or any text-based files.

Not ideal if your primary need is to analyze unstructured data from sources other than documents, such as web pages or audio transcripts.

document-management information-retrieval knowledge-base content-analysis research-support
No License No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 7 / 25
Community 6 / 25

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Stars

12

Forks

1

Language

Python

License

Last pushed

Dec 07, 2025

Commits (30d)

0

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