Knowledge Pipeline
Companies rarely have a shortage of recorded material. They have a retrieval problem. The Knowledge Pipeline turns unorganized video, audio, and meeting archives into structured, citable reference libraries that teams can actually query and use.
Starting From
10,000 CZK / €420
Entry tier covers taking a core playlist, training series, or media archive into a structured, queryable NotebookLM setup. Scope expands based on archive size and custom delivery tools.
See Riffle, our public mobile showcase built on a 500+ video pipeline with 100% citation grounding.
The Real Problem
Most company video and audio sits in folders completely untouched. Team meetings, client calls, webinars, and training sessions accumulate constantly, but nobody has the time to watch an hour of video to find a five-minute operational answer.
The Citation Stance
The grounding standard: Every claim and extracted workflow must point back to an exact timestamp and source transcript. If it cannot be verified, it does not get published. Credibility depends on verifiable sources.
What It Proves
Long-form media can become a fast, queryable reference tool without handing company data to unverified third-party wrappers or burning thousands on recurring software subscriptions.
Why This Exists
Most business teams accumulate hours of video and audio every month: onboarding sessions, customer interviews, weekly strategy meetings, and recorded software walkthroughs. Once recorded, those files sit in cloud folders because nobody has the hours required to listen through them again.
Typical AI transcription tools generate a wall of text, but reading through a 50-page transcript is almost as slow as watching the video. Generic chatbot summarizers gloss over crucial details and frequently misattribute who said what.
The Knowledge Pipeline is built to make that accumulated knowledge reachable. By classifying content thematically and testing retrievals against exact video timestamps, we ensure team members can find the exact answer and jump straight to the source.
The Reality
This is not about generating generic video recaps or automated social clips.
It is a structured way to turn your existing video and audio assets into a verified, searchable internal reference tool that saves your team time.
What it actually does
- Programmatic transcript and metadata extraction from video, audio, or playlist archives
- Metadata enrichment with titles, dates, speakers, links, and chapter structures
- Thematic taxonomy routing so transcripts are properly packaged before retrieval
- Citation-verified storage and retrieval using Google NotebookLM or private RAG architectures
- Delivery to a lightweight, installable mobile card feed or internal reference database
What a client project can include
- Media archive audit and ingestion feasibility review
- Structured transcript extraction and catalog database setup
- Custom taxonomy and categorization suited to your operational workflows
- Grounded NotebookLM setup with verified timestamp citation testing
- Team handoff, workflow documentation, and optional mobile feed delivery
Live Demonstration
See the pipeline in action.
We tested this architecture against a public corpus of over 500 technical videos, compiling the results into Riffle: a mobile card feed with 100% verified citations.
Working Proof
- 588+ real cards across 6 months of data
- Direct citation links to source timestamps
- Mobile-first snap feed with intent capture