What is document-assistant?

50/100
Trust Score (D)
⚠️ Use Caution

document-assistant is a coding that RAG (Retrieval-Augmented Generation) framework of merging private vector databases storing unstructured document with LLM, and providing Chat/QA application which can be run locally.. It has a Nerq Trust Score of 50/100 (D). 9 GitHub stars. Published by Unknown. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
D
GRADE
9
STARS
0
DOWNLOADS

What document-assistant Does

document-assistant is a tool in the coding category. RAG (Retrieval-Augmented Generation) framework of merging private vector databases storing unstructured document with LLM, and providing Chat/QA application which can be run locally.. It is published by an independent developer and has no specified license. With 9 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use document-assistant

document-assistant is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

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

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=gosha70-document-assistant

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

Safer Alternatives

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Frequently Asked Questions

What is document-assistant used for?
document-assistant is a coding tool. RAG (Retrieval-Augmented Generation) framework of merging private vector databases storing unstructured document with LLM, and providing Chat/QA application which can be run locally..
Is document-assistant free?
License: Check project page. document-assistant has 9 GitHub stars.
Is document-assistant safe?
document-assistant has a Nerq Trust Score of 50/100 (D). Evaluate carefully.
What are alternatives to document-assistant?
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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