What is ChromaDB Tabular Retriever?

39/100
Trust Score (E)
🔴 Avoid

ChromaDB Tabular Retriever is a AI tool that Transforms tabular CSV and Excel data into searchable vector embeddings in ChromaDB for semantic retrieval.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/lbaret/chromadb-retriever-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
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GRADE
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STARS
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DOWNLOADS

What ChromaDB Tabular Retriever Does

ChromaDB Tabular Retriever is a mcp_server in the AI tool category. Transforms tabular CSV and Excel data into searchable vector embeddings in ChromaDB for semantic retrieval.. It is published by https://github.com/lbaret/chromadb-retriever-mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ChromaDB Tabular Retriever

ChromaDB Tabular Retriever is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/lbaret/chromadb-retriever-mcp
CategoryAI tool
LicenseNot specified
Typemcp_server
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=chromadb-tabular-retriever

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

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Frequently Asked Questions

What is ChromaDB Tabular Retriever used for?
ChromaDB Tabular Retriever is a AI tool tool. Transforms tabular CSV and Excel data into searchable vector embeddings in ChromaDB for semantic retrieval..
Is ChromaDB Tabular Retriever free?
License: Check project page. ChromaDB Tabular Retriever has 0 GitHub stars.
Is ChromaDB Tabular Retriever safe?
ChromaDB Tabular Retriever has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to ChromaDB Tabular Retriever?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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