LibreChat-AI/rag-api
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Star History
Momentum
+23
STARS · LAST 30 DAYS
1
PER DAY
#348
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +23 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +8 | +20 |
rag-api gained 23 stars in the last 30 days, about 1 a day, and now has 908. It is about 3 years old and has averaged roughly 303 stars a year. It ranks #348 among Python repositories and #2,767 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#1227
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
rag-api has maintained a continuous presence across global trending indexes, peaking at #1227. Below is the 30-day activity profile:
💡 Overview
rag-api is an open-source project written in Python: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector.
Engineered for speed, consistency, and developer ease, it solves common hurdles in api, api-rest, embeddings. 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-api⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
rag-api 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-api.
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
Install rag-api using your package manager: `pip install rag-api`
Initialize your project workspace or configuration file for rag-api.
Import rag-api into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rag-api --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
LibreChat-AI/rag-api is currently ranked #2,767 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,759 | SeaOfNodes/Simple | Java | ★ 915 | Compare ↗ |
| #2,763 | open-telemetry/opentelemetry-php | PHP | ★ 913 | Compare ↗ |
| #2,763 | SuRGeoNix/Flyleaf | C# | ★ 913 | Compare ↗ |
| #2,765 | j-brooke/FracturedJson | C# | ★ 911 | Compare ↗ |
| #2,765 | rancher/k3k | Go | ★ 911 | Compare ↗ |
| #2,767 | LibreChat-AI/rag-api This Project | Python | ★ 908 | |
| #2,767 | horizontalsystems/unstoppable-wallet-ios | Swift | ★ 908 | Compare ↗ |
| #2,767 | lakasir/lakasir | PHP | ★ 908 | Compare ↗ |
| #2,767 | hyvor/relay | PHP | ★ 908 | Compare ↗ |
| #2,771 | yuzono/tachiyomi-extensions | Kotlin | ★ 907 | Compare ↗ |
| #2,772 | pnp/powershell | C# | ★ 905 | Compare ↗ |
Frequently Asked Questions
What does rag-api do? +
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
What language is rag-api written in? +
The primary language is Python. Topics include: api, api-rest, embeddings, fastapi, langchain.
Is rag-api actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 46 open issues being tracked.
How many stars does rag-api have? +
rag-api has 908 stars and 406 forks on GitHub.
How does rag-api rank among GitHub repositories? +
With 908 stars, LibreChat-AI/rag-api is ranked #2,767 globally across all repositories tracked on GitHubRepo and #348 among Python projects.
What license is rag-api distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
