Learning Path
Search AI: Agentic RAG
Agentic Retrieval-Augmented Generation is an advanced extension of the traditional RAG model that uses autonomous agents to make the retrieval process smarter and more context-aware.
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Search AI: Agentic RAG
- 000:30:00
- Downloadable resources available
- Certificate of completion included
Details
Language
English
Completion time
000:30:00
Product covered
Search AI
In this course, you'll explore how Retrieval-Augmented Generation (RAG) evolves with intelligent agents to deliver more accurate and context-aware responses—especially in enterprise settings that involve structured and unstructured data. You'll learn how these agents enhance query understanding, dynamic retrieval, and tailored generation, making GenAI applications smarter and more adaptable to real-world enterprise needs.
By the end of this course, you will be able to understand:
- What is Agentic RAG?
- How to enable Agentic RAG
- Types of Agents in Agentic RAG
- Workflow of Agentic RAG
Before you begin
We recommend you complete the below courses before starting this course:
- Search AI: Overview
- Search AI: Basics of Content Ingestion
- Search AI: Basics of Extraction, Retrieval & Generation
- Search AI: Testing and Analysing answers
- Search AI: Advanced Web Crawling
- Search AI: Ingest data from Content & Knowledge Management Systems
- Search AI: Chunk Enrichment using Workbench