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langflow-ai
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langflow-ai/openrag

OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

Python ◇ developer-tools Apache-2.0
★4.6KSTARS
⑂509FORKS
!350ISSUES
🏆#2,166GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+116

STARS · LAST 30 DAYS

4

PER DAY

#327

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+28+116+360
Per day444
Forks gained+3+10+25

openrag gained 116 stars in the last 30 days, about 4 a day, and now has 4.6K. It is about 1 year old and has averaged roughly 4.6K stars a year. It ranks #327 among Python repositories and #2,166 across all languages on GitHubRepo.

Trending Record

openrag has maintained a continuous presence across global trending indexes, peaking at #4621. Below is the 30-day activity profile:

💡 Overview

openrag is an open-source project written in Python: OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch. .

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

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 openrag

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

openrag 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 openrag 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 openrag using your package manager: `pip install openrag`

2

Initialize your project workspace or configuration file for openrag.

3

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

4

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

👍 Strengths

Active community backing with 4,635 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.

⇄ Alternatives & Direct Competitors

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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

langflow-ai/openrag is currently ranked #2,166 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,161 topgrade-rs/topgrade Rust ★ 4.7K Compare ↗
#2,162 oop7/YTSage Python ★ 4.7K Compare ↗
#2,163 Azure/azure-cli Python ★ 4.6K Compare ↗
#2,164 zebbern/claude-code-guide Python ★ 4.6K Compare ↗
#2,165 TheOdinProject/theodinproject Ruby ★ 4.6K Compare ↗
#2,166 langflow-ai/openrag This Project Python ★ 4.6K
#2,167 TheoLeeCJ/SemIf-OpenJev Python ★ 4.6K Compare ↗
#2,168 symfony/filesystem PHP ★ 4.6K Compare ↗
#2,169 autobrr/qui Go ★ 4.6K Compare ↗
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Frequently Asked Questions

What does openrag do? +

OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

What language is openrag written in? +

The primary language is Python. Topics include: software.

Is openrag actively maintained? +

Yes, the last recorded push was on Oct 12, 2026 with 350 open issues being tracked.

How many stars does openrag have? +

openrag has 4,635 stars and 509 forks on GitHub.

How does openrag rank among GitHub repositories? +

With 4,635 stars, langflow-ai/openrag is ranked #2,166 globally across all repositories tracked on GitHubRepo and #327 among Python projects.

What license is openrag distributed under? +

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

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