← Back to Projects Video RAG for Searchable Long-Form Content
Make long videos searchable by turning transcripts and segments into a retrieval-powered Q&A experience.
Categories
GenAINLP
Tech Used
PythonVideo data processingEmbeddingsVector DBPostgreSQLRAGLLMFastAPIDocker
Problem
Finding specific information in lectures, meetings, or long recordings is time-consuming when users must scrub through the full video manually.
Approach
- Extracted transcripts and organized video content into semantically meaningful segments
- Indexed segment-level text with embeddings to support accurate retrieval
- Generated answers from the most relevant retrieved moments instead of the full recording
Results
- Searchable video knowledge base for long-form content
- Faster access to relevant moments and answers inside recordings