A searchable video-insight knowledge base that transcribes podcasts, conference talks, and YouTube videos, preserves timestamps, and lets users retrieve exact moments through an intelligent agent.
Turn long videos into timestamped Markdown documents, ingest them into a RAG platform, and search the resulting corpus conversationally. The system can identify which video contains a topic and return direct links or exact time codes instead of requiring users to scrub through recordings.
online BOTH Product / E-commerce
From IBM Developer — Extract Insights from Videos with Docling + OpenRAG at 00:00
Problem: Video is useful while watching but difficult to mine later. Finding every discussion of a topic and the corresponding moments in an hour-long recording can take hours of manual scrubbing.
For: People who regularly consume podcasts, conference talks, or other long videos and need to reference specific information later; the transcript specifically demonstrates this for a podcast creator's own podcast archive.
Products from this video
Examples
- The creator's podcast archive: hour-long podcast videos were transcribed and ingested so the agent could search them by topic.
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