How does a 1,000-page scanned PDF become something an AI can search in seconds? A beginner's walk through CogniVault's ingestion pipeline: extraction, OCR, chunking, embeddings, …
Python scripts crash. When embedding gigabytes of PDFs, you need a factory ledger. How CogniVault uses DBOS and PostgreSQL for crash-resumable workflows.
Re-embedding a 200-page PDF every time you tweak one paragraph is a tax nobody wants to pay. Here's how CogniVault uses DBOS workflows and content hashing to ingest only what …