For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

Latest Updates

1 July 2026

• DigitalOcean Managed Weaviate is now in public preview and enabled for all users. Weaviate is a fully managed vector database for retrieval-augmented generation and semantic search workloads.

  Create clusters from the Vector Databases page, the /v2/vector-databases API, or doctl vector-databases. Select Weaviate as the engine and review the public preview disclaimer and legal terms in the create flow. For setup, limits, and pricing, see Managed Weaviate.

28 May 2026

• You can now use the DigitalOcean Control Panel to create, connect to, tag, resize, and restore Managed Weaviate clusters (in private preview). See the Managed Weaviate docs for more information.

28 April 2026

• DigitalOcean Managed Weaviate is now in private preview. Opted-in customers can provision Weaviate clusters in the TOR1 region in Small, Medium, and Large plans through the dedicated DigitalOcean Vector Databases API at /v2/vector-databases. Clusters are reachable over port 443 for both HTTP and gRPC and support configurable quantization (rq, pq, bq, or sq) for the vector index.

  During preview, cluster management is API-only. Preview clusters are not billed and are not covered by a paid support SLA. APIs, SKUs, regions, and Control Panel elements may change before general availability. For setup and usage guidance, see Managed Weaviate.

• DigitalOcean Vector Databases is now generally available in Data Services that groups managed engines for vector similarity search. The launch includes:

  • Weaviate in private preview for retrieval-augmented generation and semantic search workloads. Available to opted-in customers; preview clusters are not billed.
  • OpenSearch with the k-NN, ML Commons, and Neural Search plugins for hybrid (vector plus keyword) search and remote embedding models. Uses the existing Managed Databases OpenSearch engine.
  • PostgreSQL with the vector (pgvector) and vectorscale (pgvectorscale) extensions for vector similarity search alongside relational data.

  For an overview and guidance on choosing an engine, see Vector Databases.

For more information, see the full release notes.