MauxPlatform/Maux-RAG-API
🏗️ FrameworkMauxPlatform
A production-ready FastAPI boilerplate designed to accelerate the deployment of Retrieval-Augmented Generation (RAG) systems.
Maux-RAG-API is a specialized framework built on top of FastAPI, specifically engineered to handle the complexities of RAG (Retrieval-Augmented Generation) workflows. It provides a clean, modular architecture that allows developers to plug in their preferred vector databases and LLM providers without rewriting core API logic. Key features include asynchronous request handling, structured endpoints for document ingestion and querying, and a flexible middleware approach that supports various embedding models. By abstracting the common patterns of RAG—such as document chunking, vector storage interaction, and prompt orchestration—the framework enables teams to focus on optimizing their retrieval strategies and model performance. Its lightweight design ensures low latency, making it suitable for both prototyping and production-grade AI services that require high-throughput document processing.
💡Highlights
- ├─FastAPI-based RAG boilerplate
- ├─Modular architecture for LLMs
- └─Async-first design for scale
🎯For
- ├─Backend Developers
- └─AI Engineers