FastAPI RAG Microservices
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FastAPI RAG Microservices
Production-ready microservices architecture for AI-powered applications.
Description
This blueprint demonstrates a scalable microservices architecture for RAG (Retrieval-Augmented Generation) applications. It uses FastAPI for high-performance services, including a dedicated Query Service, Document Service, and Embedding Service. Security is managed through centralized RBAC/ABAC policies. The infrastructure is containerized with Docker and orchestrated via Kubernetes, with vector search powered by Qdrant or Pinecone.
Tech Stack
| Component | Technology |
|---|---|
| API Framework | FastAPI (Python) |
| Vector Search | Qdrant, Pinecone |
| Orchestration | Kubernetes, Docker |
| Database | PostgreSQL |
| Caching | Redis |
| Edge | Nginx / Cloudflare |
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