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Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

Building Generative AI Services with FastAPI: A Practical Approach to Developing
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Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications Paperback - 2025

by Parandeh, Alireza

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O'Reilly Media, 2025-05-20. paperback. New. 7x1x9. New Book, Ships with Tracking
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Details

  • Title Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications
  • Author Parandeh, Alireza
  • Binding Paperback
  • Condition New
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Publication date 2025-05-20
  • Illustrated Yes
  • Features Illustrated, Index
  • Bookseller's Inventory # SKU1741483
  • ISBN 9781098160302 / 1098160304
  • Weight 1.84 lbs (0.83 kg)
  • Dimensions 9.19 x 7 x 1.07 in (23.34 x 17.78 x 2.72 cm)
  • Size 7x1x9
  • Category Computer - Internet
  • Library of Congress subjects Application software - Development, Artificial intelligence - Computer programs
  • Library of Congress Catalogue Number 2025459122
  • Dewey Decimal Code 005.3
  • Quantity available 2

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From the publisher

Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time 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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