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Seenivasa Ramadurai
Seenivasa Ramadurai

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Discover the Future of AI with My New Book: Developing GenAI Applications with LangChain, Semantic Kernel and Powered by LLMs

Are you intrigued by how Generative AI (GenAI) is transforming industries, enhancing our work, and changing the way we interact with technology? My latest book, Developing GenAI Applications with LangChain and Powered by LLMs, is your gateway to understanding these groundbreaking technologies and how to harness their potential.

What’s Inside the Book?

This book is crafted for developers, architects, and anyone interested in the future of AI. Here’s a glimpse of the chapters you’ll explore:

Table of Contents

Introduction to LLM, Embeddings, Vectors, RAG, and LangChain
Learn the fundamentals of large language models, embeddings, vectors, and Retrieval-Augmented Generation (RAG), and how LangChain integrates these elements.

Developing GenAI Applications with LLMS
Dive deep into practical applications, building GenAI solutions that leverage the power of large language models.

Introduction to LCEL
Explore the LangChain Execution Language (LCEL) and its role in simplifying the development of complex AI workflows.

Introduction to LangGraph
Discover how LangGraph enhances the capabilities of LangChain, allowing for more complex and stateful AI applications.

Building AI-Powered Applications [RAG]

Simple RAG: Start with the basics of RAG and understand how to implement it in AI projects.
Self-querying retriever: Learn advanced retrieval techniques to make your AI more intelligent and responsive.
Parent Document retriever: **Explore how to retrieve full documents or larger chunks of information efficiently.
**CRAG – Corrective RAG:
Understand how to implement corrective measures in RAG for improved accuracy.
LCEL vs LangGraph
Compare LCEL and LangGraph, understanding the strengths and use cases of each in building AI applications.

Introduction to Microsoft Semantic Kernel (C#)
Get hands-on with Microsoft’s Semantic Kernel and see how it can be used in conjunction with C# for powerful AI applications.

Why This Book is a Must-Read

If you're looking to stay ahead in the rapidly evolving field of AI, this book provides the insights and practical knowledge you need. From hands-on projects to deep dives into the technology, you'll find everything you need to build innovative AI applications.

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If you enjoyed the preview and want to explore the full content, you can purchase the book directly from me. Just email me to **sreeniusa@outlook.com **i will share other information , and I’ll send you the complete book in PDF format. Be sure to mention "Book Purchase" in email subject

Share the Knowledge
If you found this post helpful, please share it with your network! The future of AI is bright, and together, we can explore its full potential.

Thank you
Sreeni Ramadurai

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Transforming Interviews into Publishable Stories with AssemblyAI

Insightview is a modern web application that streamlines the interview workflow for journalists. By leveraging AssemblyAI's LeMUR and Universal-2 technology, it transforms raw interview recordings into structured, actionable content, dramatically reducing the time from recording to publication.

Key Features:
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⭐ Automatic highlight extraction of key moments
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📤 Export interview's subtitles in VTT format

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