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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

Comparing LangChain with other frameworks

LLM application frameworks have been developed to provide specialized tooling that can harness the power of LLMs effectively to solve complex problems. A few libraries have emerged that meet the requirements of effectively combining generative AI models with other tools to build LLM applications.

There are several open-source frameworks for building dynamic LLM applications. They all offer value in developing cutting-edge LLM applications. This graph shows their popularity over time (data source: GitHub star history, https://star-history.com/):

Figure 2.11: Comparison of popularity between different frameworks in Python

We can see the number of stars on GitHub over time for each project. Haystack is the oldest of the compared frameworks, having started in early 2020 (as per the earliest GitHub commits). It is also the least popular in terms of stars on GitHub. LangChain, LlamaIndex (previously called GPTIndex), and SuperAGI...

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Generative AI with LangChain
Published in: Dec 2023
Publisher: Packt
ISBN-13: 9781835083468
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