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Home > GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys
GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys

GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys


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GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys
Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys
Format: Paperback

About the Book

GenAI Apps with Streamlit for Developers

Building a generative AI app that actually works in production is harder than it looks. Anyone can spin up a quick chatbot demo, but how do you make it reliable, observable, and ready to deploy at scale? How do you move beyond prototypes into applications that real users can trust?

GenAI Apps with Streamlit for Developers: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys gives you the exact playbook. With Streamlit as your development framework, you'll learn how to transform fast experiments into durable, production-minded AI apps. This isn't theory, it's field-tested patterns, clear strategies, and step-by-step builds that hold up under real-world conditions.

Inside, you'll learn how to:

  • Build Retrieval-Augmented Generation (RAG) pipelines that serve faithful, context-grounded answers.

  • Implement structured tool and function calling with validation, guardrails, and safe execution.

  • Monitor app health with tracing, spans, token usage dashboards, and user feedback loops.

  • Manage caching, state, and concurrency to keep apps efficient and responsive.

  • Secure secrets, enforce rate limits, and apply input/output filters for safety and compliance.

  • Deploy seamlessly, from Streamlit Community Cloud to Docker, Cloud Run, or Kubernetes, with reproducible builds and minimal friction.

Every chapter delivers hands-on patterns you can apply immediately: robust backends that let you swap LLM providers, quality evaluation harnesses that prevent regressions, and evidence packets that make results auditable. You'll finish with more than code, you'll have a developer's blueprint for shipping apps that stand up under pressure, satisfy users, and adapt as models evolve.

If you're a developer, engineer, or technical leader serious about delivering AI features that move beyond demos, this book shows you how to make it happen.

Take the next step toward building generative AI applications that are reliable, scalable, and production-ready. GenAI Apps with Streamlit for Developers is your guide to delivering results that last.

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Product Details
  • ISBN-13: 9798299172287
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 162
  • Returnable: N
  • Sub Title: Deliver Production-Ready AI Apps with Reliable RAG, Tracing, and Easy Deploys
  • Width: 178 mm
  • ISBN-10: 8299172284
  • Publisher Date: 21 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 344 gr

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