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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Length 368 pages
Edition 1st Edition
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Author (1):
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Ben Auffarth Ben Auffarth
Author Profile Icon Ben Auffarth
Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. What Is Generative AI? 2. LangChain for LLM Apps FREE CHAPTER 3. Getting Started with LangChain 4. Building Capable Assistants 5. Building a Chatbot Like ChatGPT 6. Developing Software with Generative AI 7. LLMs for Data Science 8. Customizing LLMs and Their Output 9. Generative AI in Production 10. The Future of Generative Models 11. Other Books You May Enjoy
12. Index

Building a Chatbot like ChatGPT

Chatbots powered by LLMs have demonstrated impressive fluency in conversational tasks like customer service. However, their lack of world knowledge limits their usefulness for domain-specific question answering. In this chapter, we explore how to overcome these limitations through Retrieval-Augmented Generation (RAG). RAG enhances chatbots by grounding their responses in external evidence sources, leading to more accurate and informative answers. This is achieved by retrieving relevant passages from corpora to condition the language model’s generation process. The key steps involve encoding corpora into vector embeddings to enable rapid semantic search and integrating retrieval results into the chatbot’s prompt.

We will also provide foundations for representing documents as vectors, indexing methods for efficient similarity lookups, and vector databases for managing embeddings. Building on these core techniques, we will demonstrate...

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