NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
⚡ Executive Summary & Quick Facts
Authoritative SourceNeMo-Retriever is NeMo-Retriever is an open-source project written in Python: NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications..
| Repository | NVIDIA/NeMo-Retriever ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 3K stars · ⑂ 357 forks · #3,533 globally |
| Maintenance | ● Active (Last commit: Oct 12, 2026) · 255 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
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/NeMo-Retriever?utm_source=readme_chart)
Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/NVIDIA/NeMo-Retriever?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/NeMo-Retriever?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/NeMo-Retriever?utm_source=readme_badge)
Momentum
+75
STARS · LAST 30 DAYS
3
PER DAY
#518
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +75 | +270 |
| Per day | 1 | 3 | 3 |
| Forks gained | +0 | +7 | +18 |
NeMo-Retriever gained 75 stars in the last 30 days, about 3 a day, and now has 3K. It is about 2 years old and has averaged roughly 1.5K stars a year. It ranks #518 among Python repositories and #3,533 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#5054
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
NeMo-Retriever has maintained a continuous presence across global trending indexes, peaking at #5054. Below is the 30-day activity profile:
💡 Overview
NeMo-Retriever is an open-source project written in Python: NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 NeMo-Retriever
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
NeMo-Retriever 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 NeMo-Retriever 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 NeMo-Retriever using your package manager: `pip install NeMo-Retriever`
Initialize your project workspace or configuration file for NeMo-Retriever.
Import NeMo-Retriever into your codebase or invoke it directly from your terminal.
Execute your test suite or run `NeMo-Retriever --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/NeMo-Retriever is currently ranked #3,533 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,527 | ErsatzTV/legacy | C# | ★ 3K | Compare ↗ |
| #3,529 | theforeman/foreman | Ruby | ★ 3K | Compare ↗ |
| #3,529 | acepanel/panel | Go | ★ 3K | Compare ↗ |
| #3,531 | hosseinmoein/DataFrame | C++ | ★ 3K | Compare ↗ |
| #3,531 | SpectrumQT/XXMI-Launcher | Python | ★ 3K | Compare ↗ |
| #3,533 | NVIDIA/NeMo-Retriever This Project | Python | ★ 3K | |
| #3,533 | salsa-rs/salsa | Rust | ★ 3K | Compare ↗ |
| #3,535 | userver-framework/userver | C++ | ★ 3K | Compare ↗ |
| #3,536 | spliit-app/spliit | TypeScript | ★ 3K | Compare ↗ |
| #3,537 | thymeleaf/thymeleaf | Java | ★ 3K | Compare ↗ |
| #3,538 | jsr-io/jsr | Rust | ★ 3K | Compare ↗ |
Frequently Asked Questions
What does NeMo-Retriever do? +
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
What language is NeMo-Retriever written in? +
The primary language is Python. Topics include: software.
Is NeMo-Retriever actively maintained? +
Yes, the last recorded push was on Oct 12, 2026 with 255 open issues being tracked.
How many stars does NeMo-Retriever have? +
NeMo-Retriever has 2,990 stars and 357 forks on GitHub.
How does NeMo-Retriever rank among GitHub repositories? +
With 2,990 stars, NVIDIA/NeMo-Retriever is ranked #3,533 globally across all repositories tracked on GitHubRepo and #518 among Python projects.
What license is NeMo-Retriever distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.