Feature Extractors

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Overview

• What they do: Run models to generate vectors and structured fields inside documents.
• Where they run: As part of ingestion pipelines for a target collection.
• Outputs: Vectors (dense, sparse, multi) and payload fields, with index definitions applied by the collection.

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Discover extractors

• Browse catalog: mixpeek.com/extractors
• Availability: Some extractors may require enablement. Contact support: mixpeek.com/contact
• API:
  • List Feature Extractors
  • Get Feature Extractor by Name

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Configure in a collection

{
  "collection_name": "products_v1",
  "source": {"type": "BUCKET", "bucket_id": "bkt_123"},
  "feature_extractors": [
    {
      "feature_extractor_name": "gte_modernbert_base",
      "version": "1.0.0",
      "parameters": {},
      "input_mappings": {"text": "payload.title"}
    }
  ]
}

• Extractor outputs determine feature field names and vector index requirements for the collection.
• Use Describe Collection Features to see resolved addresses and metadata.

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Behavior & availability

• Account‑dependent: Certain extractors are not enabled by default; request access if needed.
• Versioned: Changing model versions typically requires reprocessing to keep features consistent.
• Indexes: Required vector/payload indexes are applied by the engine based on extractor outputs.

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Used by

• Collections: Store the produced features in documents (Collections).
• Retrievers: Search across vectors and payloads (Retrievers).
• Taxonomies: Join and enrich using feature fields (Taxonomies).
• Clusters: Build similarity groups over feature vectors (Clusters).

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Manage and inspect

• Describe Collection Features to see addresses and indexes.
• List Feature Extractors to view available extractors.

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See also