LangChain Tutorial: Unlock the Potential of LLMs in Question-Answering
202_index_related_chains In LangChain, index-related chains are the types of chains that allow interaction between LLMs and external data. The external data mainly refers to raw files, such as PDFs, presentations, spreadsheets etc. There is no obvious limit on the volume to data you provide, except costs. Index-related chains offer the capabilities like summarization , question-answering and text generation . In this tutorial, we will explore different ways of implementing question-answering chain. Prerequisite ¶ We start by setting up the OpenAI API key. In [36]: from dotenv import load_dotenv import os load_dotenv () openai_api_key = os . getenv ( "OPENAI_API_KEY" ) To demonstrate different kinds of question-answering chains, we will be using the play Hamlet in the PDF as example. However, you can swap the document loader to load in any su...