Spend less time managing infrastructure
Stop allocating engineering cycles to upgrades, patching, backups, and scaling. Keep your team focused on shipping AI product features.
Managed Weaviate on DigitalOcean
Deploy fully managed Weaviate clusters on DigitalOcean while your team focuses on building AI applications, not operating database infrastructure.
Stop allocating engineering cycles to upgrades, patching, backups, and scaling. Keep your team focused on shipping AI product features.
Provision from the DigitalOcean control panel, API, or doctl, then connect with official Weaviate SDKs without rewriting your stack.
Run production RAG, semantic search, hybrid retrieval, and agentic workflows on infrastructure designed for uptime and operational continuity.
Start at $20/month with flat pricing, no per-query read unit fees, and no per-dimension pricing surprises as usage grows.
Why build on DigitalOcean
Keep the Weaviate engine, APIs, and SDK compatibility your team already uses, while moving daily infrastructure operations out of your sprint plan.
Managed Weaviate is part of the DigitalOcean ecosystem alongside Managed Databases, Knowledge Bases, and Serverless Inference.
Build retrieval and generation pipelines on one platform with unified billing and no egress fees between DigitalOcean services.
The platform is OpenAI-compatible and includes native integration paths for DigitalOcean Serverless Inference.
Get started
Managed Weaviate runs the unmodified open-source engine with full compatibility for GraphQL, REST, and gRPC, so your deployment model can change without rewriting application logic.
STEP 1
Create a cluster from the control panel, API, or doctl and start with production-ready defaults.
STEP 2
Connect using your HTTP host, gRPC host, and API key with official Weaviate SDKs and compatible APIs.
STEP 3
Ship RAG, semantic search, hybrid retrieval, and agentic workflows while DigitalOcean handles infrastructure operations.
Pricing
There are no per-query read unit fees and no per-dimension pricing penalties, so costs stay predictable as applications scale.
RQ8 compression is enabled by default, reducing RAM usage by approximately 4x versus uncompressed vectors while preserving recall.
Learn how to provision and connect your Managed Weaviate cluster.
View deployment guideExplore cluster management, plans, regions, and operational guidance.
Explore documentationRead about Managed Weaviate pricing and the public preview launch.
Read announcementConnect with Python, JavaScript, Go, or Java clients and start building quickly.
Open SDK quickstartLaunch a fully managed, open-source Weaviate cluster in minutes and ship production AI applications without infrastructure drag.
Launch your cluster