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Azure-Samples/rag-postgres-openai-python

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

★506STARS
⑂1.1KFORKS
!52ISSUES
🏆#5,051GLOBAL RANK
🔥1DAYS TRENDING
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+13

STARS · LAST 30 DAYS

1

PER DAY

#627

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+13+90
Per day111
Forks gained+5+21+53

rag-postgres-openai-python gained 13 stars in the last 30 days, about 1 a day, and now has 506. It is about 2 years old and has averaged roughly 253 stars a year. It ranks #627 among Python repositories and #5,051 across all languages on GitHubRepo.

Trending Record

rag-postgres-openai-python has maintained a continuous presence across global trending indexes, peaking at #4991. Below is the 30-day activity profile:

💡 Overview

rag-postgres-openai-python is an open-source project written in Python: A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-azd-templates, azd-templates, azure-container-apps. 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-postgres-openai-python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rag-postgres-openai-python 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with rag-postgres-openai-python.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install rag-postgres-openai-python using your package manager: `pip install rag-postgres-openai-python`

2

Initialize your project workspace or configuration file for rag-postgres-openai-python.

3

Import rag-postgres-openai-python into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 506 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

Azure-Samples/rag-postgres-openai-python is currently ranked #5,051 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#5,051 Azure-Samples/rag-postgres-openai-python This Project Python ★ 506
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Frequently Asked Questions

What does rag-postgres-openai-python do? +

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

What language is rag-postgres-openai-python written in? +

The primary language is Python. Topics include: ai-azd-templates, azd-templates, azure-container-apps, azure-openai, containers.

Is rag-postgres-openai-python actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 52 open issues being tracked.

How many stars does rag-postgres-openai-python have? +

rag-postgres-openai-python has 506 stars and 1,057 forks on GitHub.

How does rag-postgres-openai-python rank among GitHub repositories? +

With 506 stars, Azure-Samples/rag-postgres-openai-python is ranked #5,051 globally across all repositories tracked on GitHubRepo and #627 among Python projects.

What license is rag-postgres-openai-python distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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