Vector Engines

Data sourced by Data Connectors with vector embedding columns can be indexed and efficiently searched using a vector engine.

A vector engine will store all vector embeddings associated to columns in a dataset, provide efficient vector search operations and avoid unnecessary recomputation of embeddings.

A vector engine is configured by setting the vectors configuration. E.g.

datasets:
  - name: dataset_with_embeddings
    vectors:
      enabled: true

For the complete reference specification see datasets.

Supported Vector engines:

Name	Description
s3_vectors	AWS S3 vectors

Vector Engine Docs

📄️ AWS S3 Vectors

AWS S3 Vectors Engine Documentation