advanced rag with llamaindex

This code implements a basic Retrieval-Augmented Generation (RAG) system for processing and querying PDF document(s). The system uses a pipeline that encodes the documents and creates nodes. These nodes then can be used to build a vector index to retrieve relevant information. Key Components PDF processing and text extraction Text chunking for manageable processing Ingestion…