This session introduces the basics of vector indexes and vector databases and all the basic knowledge of how to use them. We will walk through the steps to setting up a RAG (Retrieval-Augmented Generation) data pipeline into Apache Pinot ( a real-time OLAP and vector store). We'll load documents from a website and start asking questions about that website.

Technical details covered:
- Vector Indexes
- Apache Pinot
- RAG
- Learn how to create embeddings and perform similarity searches.

Takeaway:
How similarity search can be used in real-time

Target audience:
This session is for anyone interested in RAG, AI, vector databases, and real-time processing.