Who should use nvidia-nat-ragaai?

nvidia-nat-ragaai is an open-source project built for AI developers and researchers.

What platforms does nvidia-nat-ragaai run on?

nvidia-nat-ragaai runs on the command line.

Is nvidia-nat-ragaai still maintained?

The GitHub repository shows 186 commits in the last 90 days.

What are alternatives to nvidia-nat-ragaai?

Similar projects tracked by PulseGate include nvidia-nat-ragas, nvidia-nat-rag, and nvidia-nat-agno.

Who makes nvidia-nat-ragaai?

nvidia-nat-ragaai is developed by NVIDIA.

How long has nvidia-nat-ragaai been around?

nvidia-nat-ragaai first shipped in 2025.

Back to the index

nvidia-nat-ragaai

Name: nvidia-nat-ragaai
Author: NVIDIA

PyPIInfrastructure

nvidia-nat-ragaai is an open-source subpackage that integrates RagaAI Catalyst with NVIDIA's NeMo Agent Toolkit, providing observability and evaluation features for AI agent development. It is designed for AI developers and researchers.

Open SourceApache-2.0CLI

Visit PyPI

2.5kstars

693forks

2alternatives

4features

2025since

Overview

4 features

nvidia-nat-ragaai is a LLM eval & observability project. It focuses on integrating observability and evaluation tools into AI agent workflows using the NeMo Agent Toolkit. It is built as an open-source project for AI developers and researchers. nvidia-nat-ragaai is open source under the Apache-2.0 license. It runs on the command line.

NVIDIA builds and maintains nvidia-nat-ragaai, and it first shipped in 2025. The project is developed in the open on GitHub with 2.5k stars and 186 commits in the last 90 days. Key capabilities include ragaAI integration, observability tools, and agent toolkit support.

Summary written by a language model from the project’s public pages.

RagaAI integration
Observability tools
Agent toolkit support
CLI interface

Built with & integrations

Runs on

CLI

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jun · 14:15 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about nvidia-nat-ragaai

What does nvidia-nat-ragaai do?: Nvidia-nat-ragaai focuses on integrating observability and evaluation tools into AI agent workflows using the NeMo Agent Toolkit. It is catalogued under LLM eval & observability on PulseGate.
Who should use nvidia-nat-ragaai?: nvidia-nat-ragaai is an open-source project built for AI developers and researchers.
Is nvidia-nat-ragaai free?: Yes — nvidia-nat-ragaai is open source under the Apache-2.0 license and free to use.
What platforms does nvidia-nat-ragaai run on?: nvidia-nat-ragaai runs on the command line.
Is nvidia-nat-ragaai still maintained?: The GitHub repository shows 186 commits in the last 90 days.
What are alternatives to nvidia-nat-ragaai?: Similar projects tracked by PulseGate include nvidia-nat-ragas, nvidia-nat-rag, and nvidia-nat-agno.nvidia-nat-ragas nvidia-nat-rag nvidia-nat-agno
Who makes nvidia-nat-ragaai?: nvidia-nat-ragaai is developed by NVIDIA.
How long has nvidia-nat-ragaai been around?: nvidia-nat-ragaai first shipped in 2025.

At a glance

Platforms: Cli
Languages: English
License: Apache-2.0
Built for: AI developers and researchers
Model: Open source
Solves: Integrating observability and evaluation tools into AI agent workflows using the NeMo Agent Toolkit.

Registered as

PyPI: nvidia-nat-ragaai

Developer

NVIDIA

Community-driven

Open source

Stars: 2,460
Forks: 693
Open issues: 45
Last commit: 26 Jun 2026
Commits 90d: 186
Contributors: 91
Authorship: Community-driven
Default branch: develop
Latest release: v1.8.0 · 16 Jun 2026

Index record

Identity confidence: Low · 64
Indexed: 29 Jun 2026
Lifecycle: Alive
Last seen: 29 Jun 2026

Identity audit (12)

Slug: nvidia-nat-ragaai-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 29 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/nvidia-nat-ragaai

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do