1. Conduid
  2. RAG
  3. Pigeon Evals
MCP server · RAG

Pigeon Evals

· github.com/patteg21/pigeon-evals

A End-To-End RAG Pipeline that includes Evaluations, iterations, and swappable components. At its core it allows users to be able to try different embedding models and techniques.

Unclaimed benchmarkingdocument-processingembeddingsevaluationllmmcpnlppipelineprocessingpythonragretrieval-augmented-generationvector-databasevector-search
InstallView source
34Low

Scored a month ago · breakdown

About Pigeon Evals

Pigeon Evals is an MCP server in the RAG category: a End-To-End RAG Pipeline that includes Evaluations, iterations, and swappable components. At its core it allows users to be able to try different embedding models and techniques.

Install

From source
git clone https://github.com/patteg21/pigeon-evals

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Pigeon Evals

Powered by Claude · Grounded in docs

I know everything about Pigeon Evals. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

6 checks have not been run yet.

Questions

About Pigeon Evals

How do I install Pigeon Evals?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pigeon Evals safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pigeon Evals still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.