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Build collections

  • Create: Click New Collection, name it, provide a source (bucket or collection), and select feature extractors. API: Create Collection.
  • Features: Studio shows available feature addresses and vector indexes. Use this to configure retrievers. API: Describe Features.
  • Update: Modify description, enablement, and taxonomy applications. API: Update Collection.
  • List/Get/Delete: Browse, inspect, or remove collections. API: List, Get, Delete.

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Documents

  • View documents produced by extraction with metadata and vectors.
  • Create or update documents directly for advanced workflows. API: Create, Update, Get, List, Delete.

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Tips

  • Collections are the searchable view of your data; choose extractors that match your modalities.
  • Ensure internal_id and X-Namespace context is correct—Studio handles this automatically.
1

Create a collection

Select a source, add feature extractors, and save. Studio bootstraps vector indexes as needed.
2

Inspect features

Use Describe Features to confirm vector names, dimensions, and index metadata for retriever setup.
3

Attach taxonomies (optional)

Configure on-demand or materialized applications from the collection page.
4

Attach retriever enrichments (optional)

Configure retriever enrichments to run retriever pipelines on documents during post-processing. Each enrichment maps document fields to retriever inputs, executes the retriever, and writes selected result fields back to the document. Use for LLM classification, cross-collection joins, or multi-stage enrichment at ingestion time.
Documents are stored as Qdrant points with payload and vectors; the point ID is the document_id in results.