From Documents to Answers: How RAG Works

The main steps to build a RAG pipeline are divided into two major processes: RAG Indexing RAG Query RAG INDEXING The indexing phase converts raw documents into structured vector representations so they can be efficiently retrieved using similarity search later. Architecture diagram 1) Document ingestion and preprocessing The first process starts with ingestion, cleaning, and converting the data into a proper format. This involves transforming raw data from the Bronze layer to the Gold layer. This is the very first and most crucial step, and it requires proper care before moving to the next stages. Ex- Suppose raw data is in bullet points like this RAW DATA INTRODUCTION TO DATA SCIENCE!!! • DATA is everywhere in today's world • MACHINE learning helps in prediction • tools like PYTHON , R , SQL are used AFTER PREPROCCESSING AND NORMALISATION Section: Introduction to Data Science Content: Data is everywhere in today's world. Machine learning helps in prediction. Tools like Python, R, and