Generative AI with LangChain

5

Building a Chatbot Like ChatGPT

LLM-powered chatbots have demonstrated impressive fluency in conversational tasks such as required for customer service. However, their lack of world knowledge and their occasional errors limits their effectiveness in domain-specific question answering. In this chapter, we explore how to overcome these and other limitations through Retrieval-Augmented Generation (RAG). RAG enhances chatbots by grounding their responses in external evidence sources, leading to more accurate and informative answers. 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 discuss ...