DigitalOcean Vector Databases

Generated on 13 Jul 2026

DigitalOcean Vector Databases are managed clusters purpose-built for vector similarity search, supporting Weaviate, OpenSearch, and PostgreSQL (pgvector) for retrieval-augmented generation (RAG), semantic search, and other AI workloads.

Weaviate

DigitalOcean Managed Weaviate is a fully managed Weaviate vector database for retrieval-augmented generation, semantic search, and similarity-based AI workloads.

OpenSearch

Use DigitalOcean Managed OpenSearch as a vector database with k-NN, hybrid search, and remote embedding models.

PostgreSQL

Use DigitalOcean Managed PostgreSQL with pgvector and pgvectorscale to store embeddings alongside relational data and run vector similarity search in SQL.

Getting Started

Quickstarts to go from zero to a first vector similarity query on DigitalOcean Vector Databases.

How-Tos

How to create, secure, and manage Vector Database clusters on DigitalOcean.

Concepts

Background on vector embeddings, distance metrics, HNSW indexing, hybrid search, and other concepts that transfer across Weaviate, OpenSearch, and pgvector.

Details

Pricing, availability, limits, and other details for DigitalOcean Vector Databases.

DigitalOcean Vector Databases let you create managed database clusters for vector similarity search. They use the same provisioning and management workflows as DigitalOcean Managed Databases.

DigitalOcean Vector Databases support the following engines:

  • Weaviate (public preview): A vector-native database recommended for retrieval-augmented generation (RAG) and semantic search. Create clusters from the Vector Databases page and select Weaviate as the engine.
  • OpenSearch: A search engine for hybrid search, combining vector search with keyword search. OpenSearch Vector Databases include k-NN, ML Commons, and Neural Search plugins for vector search and remote embeddings models.
  • PostgreSQL: A relational database with the vector extension from pgvector and the vectorscale extension from pgvectorscale. PostgreSQL is a strong fit when you want vector similarity search alongside existing relational data.

OpenSearch and PostgreSQL clusters created through the Vector Databases flow use the same managed engines available under Managed Databases. You can use existing OpenSearch and PostgreSQL Managed Database clusters for vector database workloads if they have the required vector search features.

Latest Updates

1 July 2026

28 May 2026

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 all Vector Databases release notes.

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