Features and vector embeddings stored together with Feast + ScyllaDB


Feast v0.65 ships a native ScyllaDB online store with vector search support. Which means you can store your ML features alongside vector embeddings in the same database and query both using Feast.

What’s new:

  • Shard-aware Python driver
  • Self-hosted or ScyllaDB Cloud
  • Implements Feast vector database API
  • Query features and embeddings using the same interface
  • Performance-optimized schema

Read more: Feast Feature and Vector Serving at ScyllaDB Speed
Docs to get started: Feast | ScyllaDB Docs

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