E-Books →Building Generative AI Services with FastAPI A Practical Approach to Developing Context-Rich Generative AI Applications

Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud.
Build generative AI services that interact with databases, filesystems, websites, and APIs
Manage concurrency in AI workloads and handle long-running tasks
Stream AI-generated outputs in real time via WebSocket and server-sent events
Secure services with authentication, content filtering, throttling, and rate limiting
Optimize AI performance with caching, batch processing, and fine-tuning techniques
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