This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
⚡ Executive Summary & Quick Facts
Authoritative Sourcerag 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..
“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+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.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_chart)
Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA-AI-Blueprints/rag?utm_source=readme_badge)
Momentum
+20
STARS · LAST 30 DAYS
1
PER DAY
#1,382
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +20 | +90 |
| Per day | 1 | 1 | 1 |
| 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
7
DAYS ON TRENDING
#11744
BEST RANK
Nov 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install rag using your package manager: `pip install rag`
Initialize your project workspace or configuration file for rag.
Import rag into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rag --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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 ↗ |
| #9,632 | firebase/snippets-android | Java | ★ 818 | Compare ↗ |
| #9,636 | taskjuggler/TaskJuggler | Ruby | ★ 817 | Compare ↗ |
| #9,636 | cherry-game/cherry | Go | ★ 817 | Compare ↗ |
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.