LangChain for LLM Apps

Large Language Models (LLMs) like GPT-4 have demonstrated immense capabilities in generating human-like text. However, simply accessing LLMs via APIs has limitations. Instead, combining them with other data sources and tools can enable more powerful applications. In this chapter, we will introduce LangChain as a way to overcome LLM limitations and build innovative language-based applications. We aim to demonstrate the potential of combining recent AI advancements with a robust framework like LangChain.

We will start by outlining some challenges faced when using LLMs on their own, like the lack of external knowledge, incorrect reasoning, and the inability to take action. LangChain provides solutions to these issues through different integrations and off-the-shelf components for specific tasks. We will walk through examples of how developers can use LangChain’s capabilities to create customized natural language processing solutions, outlining the components...