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ragaai-catalyst

UNCLAIMEDClaim this listing

By raga-ai-hub

EVALUATION AND BENCHMARKINGTRACING AND MONITORING

ragaai-catalyst — Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal. Listed under Evaluation and benchmarking in the Observability / Evals layer. 1 of 10 comparison attributes are recorded, each with the page it was read from.

Empowering healthcare leaders with purpose-built AI Agent Suites for Radiology, Allergy, and Clinical Trials. Proven ROI and enterprise-grade reliability.

4 OF 4 SIGNALS HELD

WebsiteDocsraga-ai-hub/RagaAI-Catalyst

What it runs on, and what runs on it

6 cited edges
The differentiator

Computed from the stack graph, both directions. Every cited edge links the page it was read from; a vendor-added one links the vendor’s own source — this is the reason to be here rather than on the vendor’s own site.

RUNS ON / INTEGRATES WITH

USED BY

  • nothing recorded

Open-source signals

LICENCE
Apache-2.0
2026-09-21JSON
DOWNLOADS 30D
not measured
LAST COMMIT
not measured

A HOLLOW RING IS UNMEASURED, NOT ZERO · WE DO NOT SUBSTITUTE A PARENT COMPANY’S REPOSITORY FOR A PRODUCT THAT HAS NONE

Price

We hold no price for this product.

This is open-source software: you can run it yourself and the licence costs nothing. If the project also sells a hosted service, we do not yet hold the page it prices it on. If that changes — or if you publish /.well-known/pricing.json — it appears here with a capture date.

How we read prices →

What its categories ask

1 answered · 9 unanswered

10 questions declared by Evaluation and benchmarking and Tracing and monitoring. Most rows across the directory read like these.

ATTRIBUTEANSWEREVIDENCE · SOURCE
LLM-as-judgeYes
“3. **Using Large Language Models (LLMs) as a “judge” for metrics** – Leverage LLMs to evaluate and score the quality of generated outputs or compare different model outputs.”
2026-10-06
Alertingno answer on record
Data residencyno answer on record
Dataset managementno answer on record
Deploymentno answer on record
Framework integrationsno answer on record
Human in the loopno answer on record
Licenceno answer on record
Open sourceno answer on record
OpenTelemetryno answer on record

A ROW WITH NO ANSWER IS NOT A ROW WITH A “NO” · A VENDOR MAY ANSWER A BLANK ONE, MARKED VENDOR CLAIMED WITH ITS SOURCE · A DOCUMENTED VALUE IS DISPUTED, NOT OVERWRITTEN, AND STAYS VISIBLE WHILE WE RE-READ THE SOURCE

Practitioner reviews

Nobody has written one yet.

A review here is structured, not a star: hardware, scale band, what broke in production, and whether you would choose it again.

NO PERCENTAGE IS SHOWN UNDER FIVE REVIEWS · NO STAR RATINGS, EVER

Also in this category

51 products in Evaluation and benchmarking. Comparison defaults to within the category — pairing this with a GPU cloud would produce a page that means nothing.

langfuseUSED BY 16COMPARE →
LangSmithUSED BY 15COMPARE →
Arize PhoenixUSED BY 4COMPARE →
BraintrustUSED BY 3COMPARE →
RagasUSED BY 2COMPARE →
Weights & Biases WeaveUSED BY 2COMPARE →
opikUSED BY 1COMPARE →
PromptfooUSED BY 1COMPARE →

USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY

Frequently asked

Is ragaai-catalyst open source?
Yes — it is listed as open source, and its repository is the source for the activity figures on this page rather than anything the project says about itself.
What does ragaai-catalyst run on?
Google DeepMind, Groq, LangChain and 3 more. Every one of those is an edge we recorded from documentation that states it, not an inference from what the two products have in common.
Does ragaai-catalyst offer llm-as-judge?
Yes. Read from their own page: “3. **Using Large Language Models (LLMs) as a “judge” for metrics** – Leverage LLMs to evaluate and score the quality of generated outputs or compare different model outputs.”.
What does a blank mean on the ragaai-catalyst page?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A blank is an absence of evidence, and this page shows how many of its questions are in that state rather than quietly leaving them out.
Where do the ragaai-catalyst figures come from?
Each one is read from a public page — usually the vendor's own documentation or pricing page — and carries a link to it with the date it was read. Nothing here is estimated, averaged across sources, or inferred from a similar product. If a figure cannot be traced to a page, it is not published.
Can ragaai-catalyst change what this page says?
They can claim the listing and supply or correct values, which are then labelled as theirs. They cannot remove the page, hide a comparison they are losing, or change a figure somebody else recorded with a source. Nothing on the page is for sale. How the site is paid for is set out under money and independence at /our-data#sec5.
Something here is wrong — how do I fix it?
Dispute the value. Every figure links to the page it was read from, so a dispute names the value and gives a source that contradicts it. That is the only lever anyone has over this page, and it is the same lever for the vendor, a competitor and a reader.
Is this listing run by raga-ai-hub?
No. It is built from public sources, and no value on it came from the company. Anyone with an address at raga.ai can claim it for free. A claim lets the company write the tagline, description and logo, and answer blank questions or add dependencies, each marked as theirs with a source. Prices, licence and OSS figures stay as the directory read them, category changes only through our review, and each can be disputed with a source.

Cite this page

A model that quotes us should quote us correctly. The reading and its date sit inside the citation rather than beside it, because a quotation carrying only a URL goes wrong the week the URL changes.

infratoapp, “ragaai-catalyst — Evaluation and benchmarking”, read 6 October 2026. LLM-as-judge: Yes as published at docs.raga.ai. https://www.infratoapp.com/products/ragaai-catalyst

What ragaai-catalyst can and cannot change here

Claiming raga-ai-hub lets its admins and editors change the tagline, description, logo, docs link and deployment model of every product that org owns — live, labelled as theirs, and logged. Answers to blank questions and dependencies go live too, marked as the owner’s and sourced; a documented answer cannot be overwritten. Everything else on this page is a stated fact with a dispute route: price, licence and OSS figures. Those columns are ungranted at the database level, so they are not a feature we withheld — they are a write that cannot happen. Name, category, website, pricing page and package names can be changed by the owner only through our review. A dispute never deletes a value; it marks it and publishes the correction.

Claim raga-ai-hubFree · email at raga.ai