What is simple-rag-document-qa?

58/100
Trust Score (D)
⚠️ Use Caution

simple-rag-document-qa is a coding that A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.. It has a Nerq Trust Score of 58/100 (D). 64 GitHub stars. Published by Unknown. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

58
TRUST SCORE
D
GRADE
64
STARS
0
DOWNLOADS

What simple-rag-document-qa Does

simple-rag-document-qa is a tool in the coding category. A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.. It is published by an independent developer and has no specified license. With 64 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use simple-rag-document-qa

simple-rag-document-qa is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categorycoding
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=t-redactyl-simple-rag-document-qa

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is simple-rag-document-qa used for?
simple-rag-document-qa is a coding tool. A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline..
Is simple-rag-document-qa free?
License: Check project page. simple-rag-document-qa has 64 GitHub stars.
Is simple-rag-document-qa safe?
simple-rag-document-qa has a Nerq Trust Score of 58/100 (D). Use with caution.
What are alternatives to simple-rag-document-qa?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated November 2026. Trust scores based on automated analysis of public data.

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