Building RAG Pipelines with Databricks
Embeddings, Mosaic AI Vector Search and agentic RAG workflows with Agent Bricks on Databricks.
This course covers building end-to-end RAG (Retrieval-Augmented Generation) pipelines on Databricks, from understanding the foundational concepts to deploying autonomous agents.
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What's inside
9 sections- 1 Table of Contents
- 2 Course Overview
- 3 Module 1 — Getting Started with RAG on Databricks
- 4 Module 2 — Embeddings and Mosaic AI Vector Search
- 5 Module 3 — Building the RAG Pipeline with Databricks
- 6 Module 4 — Agent Bricks for RAG Workflows
- 7 Environment Setup
- 8 Code File Reference
- 9 Summary — Complete RAG Architecture with Databricks
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Training created by Gihad Sohsah — AI Tech Lead & Entrepreneur.
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