RAG in the Evolution of Querying
30 minutes
admin
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Internal
Overview
RAG in the Evolution of Querying
Tutorial on Retrieval-Augmented Generation
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