Composition Strategies: Chain Constructor Implementation

In this lesson, we will learn how to develop a chatbot that responds to a user query using methods and functions that we have learned so far. We’ll use a RAG system with LangChain to load, tokenize, and embed text, split the tokens, upload them to a vector store, set up a retriever, create a prompt using a prompt template, set up an LLM model with state-of-the-art models, implement piping chains, and generate a response to the user’s query.