Building a RAG Pipeline for Summarization and Q&A with Llamaindex and OpenAI
In this post, I will first define what LlamaIndex, RAG (Retrieval-Augmented Generation) is, describe the basic architecture pipeline that I am building, and implement the concept using Python code. LlamaIndex LlamaIndex is a powerful data framework design to connect custom(text, HTML, pdf, etc.) data sources to the Large Language Models. It acts as an interface to manage the interaction with the LLMs like loading data from source, create the index form the input data, which than used to respond to the users queries....