AI Infrastructure · PyPI

monitoring-rag

A comprehensive, framework-agnostic library for evaluating Retrieval-Augmented Generation (RAG) pipelines.

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Details

Author
Abhinandan Mukherjee
GitHub profile
@ragevals
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/ragevals/rag_evals
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@ragevals

Overview

A comprehensive, framework-agnostic library for evaluating Retrieval-Augmented Generation (RAG) pipelines.

Quick start

pip

pip install monitoring-rag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What monitoring-rag can do

llmragaiopenairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is monitoring-rag?
A comprehensive, framework-agnostic library for evaluating Retrieval-Augmented Generation (RAG) pipelines.
How do I install monitoring-rag?
Use pip: `pip install monitoring-rag`. Full setup details on the source page linked above.
Is monitoring-rag open source?
monitoring-rag is published on PyPI.
What are alternatives to monitoring-rag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for monitoring-rag is sourced from PyPI, published by Abhinandan Mukherjee.

Last scraped: · First indexed:

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