Edureka

Video RAG Systems

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Edureka

Video RAG Systems

This course is part of Video RAG Specialization

Edureka

Instructor: Edureka

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Build a repeatable video ingestion pipeline and structured knowledge base.

  • Implement semantic, metadata, and hybrid retrieval against a vector database.

  • Return precise timestamped segments and search across a multi-video collection.

  • Connect retrieval to an LLM to build video Q&A and a conversational assistant.

Details to know

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Recently updated!

September 2026

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Video RAG Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

This module introduces the end-to-end architecture of VideoRAG systems and explores the workflow required to transform raw videos into searchable AI-ready assets. Learners explore video ingestion, knowledge base creation, indexing strategies, and vector database integration to build a complete retrieval pipeline for video content.

What's included

7 videos3 readings2 assignments

This module focuses on retrieval techniques that enable VideoRAG systems to identify and access relevant video information efficiently. Learners explore semantic search, metadata filtering, timestamp-based retrieval, multi-video search, and retrieval optimisation strategies to improve accuracy and relevance of retrieved content.

What's included

5 videos2 readings2 assignments

This module introduces conversational AI workflows built on top of VideoRAG systems, enabling users to ask questions and receive grounded responses from video content. Learners explore retrieval-augmented answering, LLM integration, prompt engineering, and conversational video assistants for creating interactive AI-powered video applications.

What's included

6 videos2 readings2 assignments

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Instructor

Edureka
Edureka
244 Courses220,055 learners

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