Generative AI with LangChain

4

Building Capable Assistants

As LLMs continue to advance, a key challenge is transforming their impressive fluency into reliably capable assistants. This chapter explores methods for instilling greater intelligence, productivity, and trustworthiness in LLMs. The unifying theme across these approaches is enhancing LLMs through tools and agent architectures like plan-and-solve. We’ll implement sample applications that demonstrate these techniques in this chapter.

Tools can leverage contextual dialogue representation to search pertinent data sources related to the user’s query. For example, for a question about a historical event, tools could retrieve Wikipedia articles to augment context. By grounding responses in real-time data, tools reduce ...