Vector Engines
🎓 Learn how it works with the Amazon S3 Vectors with Spice engineering blog post.
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
📄️ Amazon S3 Vectors
Amazon S3 Vectors Engine Documentation
