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RAG in the Evolution of Querying

30 minutes admin 13 views Internal

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Overview

RAG in the Evolution of Querying
Tutorial on Retrieval-Augmented Generation

Prerequisites

Basic understanding of Large Language Models (LLMs).
Familiarity with traditional databases and SQL concepts.
Introductory knowledge of Vector Embeddings.

Learning Outcomes

The core architecture of Retrieval-Augmented Generation (RAG).
How RAG bridges the gap between SQL and Generative AI.
The evolution from Naïve RAG to Agentic RAG (2025–2026).
Why RAG is critical for scientific research and data provenance.

Tutorial Info

Type Interactive
Difficulty Beginner
Duration 30 minutes
Provider Internal
Published Apr 09, 2026
Last Updated May 24, 2026