Demo

Document RAG on the VAST AI OS: Grounded Answers from Your Own Corpus

Drop a file in, and watch it become a cited, grounded answer. No separate vector database, no manual re-indexing, no black box. This demo walks through a complete document RAG pipeline on the VAST AI OS: automatic vectorization the moment files land, a research assistant that pulls from your corpus (and the web, if needed) with sources you can check, and a no-code pipeline builder with full observability into every step.

What you’ll see in this demo:

  • A live RAG query answered using a private document collection, with retrieval, reranking, and source citations

  • Automatic fallback to internet search when internal data isn't sufficient

  • How DataEngine triggers detect new documents and kick off processing without any manual steps

  • A visual, drag-and-drop pipeline builder for assembling triggers and functions into automated data workflows

  • Detailed logs and traces for debugging and monitoring every stage of the pipeline

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