renton4code/pdf-rag

RAG (Retrieval-Augmented Generation) template with PDF OCR, vector search and chat/documents UI

40
/ 100
Emerging

This tool helps anyone who needs to quickly get answers from large collections of PDF documents. You can upload scanned or digital PDFs, and then ask questions in a chat interface. It identifies relevant information within your documents and provides direct answers with references to the original pages, making it easy to cite sources or verify details. This is ideal for researchers, analysts, or legal professionals working with extensive document libraries.

No commits in the last 6 months.

Use this if you need to quickly find specific information and get direct answers from many PDF documents, even those that are scanned.

Not ideal if you primarily need to extract data from highly structured forms or if you require advanced statistical analysis of document content.

document-qa research-analysis information-retrieval knowledge-management legal-discovery
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

38

Forks

9

Language

TypeScript

License

AGPL-3.0

Last pushed

Feb 19, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/rag/renton4code/pdf-rag"

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