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Ragas

Framework for evaluating retrieval augmented generation pipelines

AI InfrastructureFounded 2023#26 of 55 in AI Infrastructure

ragas.ioGitHubPyPI
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Company research

Current company data

No company research card is published for Ragas yet. The current company data below lists package, repository, and discussion metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

1.5M/30d

Dependent projects

154

dependents · latest

GitHub stars

14.8K

Hacker News

1/30d

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

See latest dataHow we measure itAll research →

Company profile

What is Ragas?

Ragas is an open-source framework designed to evaluate Retrieval Augmented Generation (RAG) pipelines. It provides a suite of metrics to assess various aspects of RAG systems, including faithfulness, answer relevance, and context quality, helping developers improve the performance of their AI applications.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

1.5M/30d

Tracked package: PyPI ragas

▼ -6%

Additional metrics

3 metrics

Metric

Dependent projects

154

Projects depending on tracked package: PyPI ragas

Metric

GitHub stars

14.8K

Main repository stars

Metric

Hacker News

1/30d

Position #53 in category discussion

Repository health

Maintenance data from the main open-source repository.

Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Ragas.

Repos importing
10%

About Ragas

Ragas is an open-source framework designed to evaluate Retrieval Augmented Generation (RAG) pipelines. It provides a suite of metrics to assess various aspects of RAG systems, including faithfulness, answer relevance, and context quality, helping developers improve the performance of their AI applications.

FoundersShahul ES, Jithin James
ragas.iogithub.com/vibrantlabsai/ragasPyPI: ragas

Disclosed funding

Disclosed $3M · 1 round

Disclosed funding records total $3M. Category position #26 of 55 in AI Infrastructure.

Seed2024

TQ Ventures

$3M

Investors

TQ Ventures

Tracked packages (1)

1 PyPI

ragas

PyPIMain PyPI package

ragas

Framework for evaluating retrieval augmented generation pipelines