Publisher's Synopsis
Generative AI Agent in Practice: A Developer's Guide to Building Intelligent, Self-Learning Assistants with LangChain and Transformers
Are you ready to move beyond chatbots and start building real, intelligent agents?
Imagine transforming your codebase into a dynamic, problem-solving assistant-one that can search, reason, interact with APIs, and adapt to new data automatically. In a world powered by generative AI, mastering these next-generation tools isn't just an advantage-it's essential.
This book is your hands-on blueprint for building production-ready AI agents.
Inside, you'll discover step-by-step guides for deploying agents that truly understand, remember, and act. From environment setup to advanced multi-agent workflows, every chapter delivers concise explanations, practical code, and expert insights drawn from real-world deployments.
What sets this guide apart?
End-to-End Workflows: Learn to build, test, and scale agents using proven frameworks like LangChain and Hugging Face Transformers.
Retrieval-Augmented Generation (RAG): Combine semantic search, vector databases, and custom tools for agents that go beyond static knowledge.
Prompt Engineering and Memory: Master the art of reusable prompt templates, context management, and versioning for reliable, robust performance.
Tool and API Integration: Empower your agents to search the web, process files, call custom APIs, and automate entire workflows.
Observability and Security: Gain production confidence with strategies for logging, monitoring, error handling, and security best practices.
Practical Case Studies: Follow real-world examples, from customer support bots to developer assistants, that illustrate both pitfalls and successes.
Are you building for the future of AI?
Whether you're an engineer, data scientist, or AI enthusiast, this guide gives you a toolkit you can use today-no theory without code, and no code without real use cases.
Take the next step:
Supercharge your development workflow, launch smarter assistants, and future-proof your AI skill set. Grab your copy of "Generative AI Agent in Practice" and start building intelligent, self-learning agents that make a real impact.
