This course covers the full Video RAG pipeline: ingestion, indexing, retrieval, and answer generation across a video collection. Moving from a single file to a searchable library is where a prototype becomes a usable system.

Video RAG Systems
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Video RAG Systems
This course is part of Video RAG Specialization

Instructor: Edureka
Included with Learn 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
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.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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