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This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

Python ◇ blueprint Apache-2.0
★818STARS
⑂343FORKS
!73ISSUES
🏆#9,632GLOBAL RANK
🔥7DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

rag is rag is an open-source project written in Python: This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NVIDIA-AI-Blueprints/rag has accumulated 818 GitHub stars and 343 forks. It is written in Python, licensed under Apache-2.0, and ranks #9,632 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository NVIDIA-AI-Blueprints/rag ↗
Primary Category blueprint
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 818 stars · ⑂ 343 forks · #9,632 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 73 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is rag actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, rag is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (9 days ago). Supported by 818 stars and 343 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 3, 2026
9 days since last push
Issue Backlog
73 Open Issues
Healthy Issue Cadence
Community Backing
343 Forks
818 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for NVIDIA-AI-Blueprints/rag
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Momentum

+20

STARS · LAST 30 DAYS

1

PER DAY

#1,382

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+20+90
Per day111
Forks gained+0+7+17

rag gained 20 stars in the last 30 days, about 1 a day, and now has 818. It is about 2 years old and has averaged roughly 409 stars a year. It ranks #1,382 among Python repositories and #9,632 across all languages on GitHubRepo.

Trending Record

rag has maintained a continuous presence across global trending indexes, peaking at #11744. Below is the 30-day activity profile:

💡 Overview

rag is an open-source project written in Python: This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

Engineered for speed, consistency, and developer ease, it solves common hurdles in blueprint, nim, rag. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install rag

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rag coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed rag into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install rag using your package manager: `pip install rag`

2

Initialize your project workspace or configuration file for rag.

3

Import rag into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `rag --help` to verify successful setup.

👍 Strengths

Active community backing with 818 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

NVIDIA-AI-Blueprints/rag is currently ranked #9,632 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,620 juspay/xyne-spaces TypeScript ★ 820 Compare ↗
#9,628 google/caliper Java ★ 819 Compare ↗
#9,628 saschagrunert/indextree Rust ★ 819 Compare ↗
#9,628 havenweb/haven Ruby ★ 819 Compare ↗
#9,628 Neywa-Labs/mlx-audio-swift Swift ★ 819 Compare ↗
#9,632 NVIDIA-AI-Blueprints/rag This Project Python ★ 818
#9,632 CouchPotato/CouchPotatoV1 Python ★ 818 Compare ↗
#9,632 bazelbuild/intellij Java ★ 818 Compare ↗
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Frequently Asked Questions

What does rag do? +

This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.

Is rag actively maintained in 2026? +

Yes, rag is actively maintained. The latest code push was recorded on Nov 3, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 818 stars and 73 open issues.

What language is rag written in? +

The primary language is Python. Topics include: blueprint, nim, rag, retrieval-augmented-generation.

How many stars does rag have? +

rag has 818 stars and 343 forks on GitHub.

How does rag rank among GitHub repositories? +

With 818 stars, NVIDIA-AI-Blueprints/rag is ranked #9,632 globally across all repositories tracked on GitHubRepo and #1,382 among Python projects.

What license is rag distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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