Fresh data. Agents that remember. Systems that get smarter over time. Fully-managed data infrastructure, integrated with every layer of the DigitalOcean stack. No egress fees between them.
Fresh data, queryable the moment it arrives. Built on open source and accessible through open standards, your data stays portable, your infrastructure stays composable, and your AI workloads stay under terms you control.
We believe in an open platform. Our Managed Weaviate service uses standard APIs and clients, meaning you can use the tools you already know without being forced into proprietary SDKs or abstractions.
Break free from the "cloud tax." By co-locating data and intelligence, we eliminate egress fees between your data layer and inference engines. Our Knowledge Bases offer a predictable pricing model starting at a fraction of the cost (as low as $20/month) vs. competitors.
We provide a single control panel for your entire AI stack from raw data storage to agent deployment so you don't have to manage multiple vendor relationships, separate billing, and complex authentication layers.
Leverage scalable, low-latency, highly available, manageable and secure managed databases. With our new Advanced Edition, databases can extend the boundaries of scale, failover and manageability.
Worry-free database hosting. We offer automated, high-availability setups for MySQL, PostgreSQL, and Redis, removing the need for manual server administration.
High scalability
Easily scale your database to match business growth. Add CPUs, RAM, and nodes to handle heavier workloads and boost performance. Plus, with automated storage scaling, you’ll never run out of space—no manual intervention required.
Fast, reliable performance
Managed Databases run on enterprise-class hardware for fast performance. Run your clusters on Droplets with shared vCPUs or choose Droplets with 100% dedicated vCPUs for mission critical workloads.
End-to-end security
Databases run in your account's private network, and only whitelisted requests via the public internet can reach your database. Data is also encrypted in transit and at rest.
Streamlined setup and maintenance
Launch a database cluster with just a few clicks and then access it via our simplified UI or API. Easily migrate your database from another location with minimal downtime.
Diverse sources
Connect to data in S3, Dropbox, and local file system.
Chunking Strategies
Smart defaults out of the box, deep control when you need it. Pick semantic for topical shifts, hierarchical for precise retrieval with broader grounding, section-based for structured docs, or fixed-length for sheer speed - then evaluate, adjust, and re-index until retrieval lands.
Hybrid Search & Advanced Reranking
Enhance retrieval accuracy with sophisticated search techniques that combine keyword and semantic results. Enable bge-reranker-v2-m3 to re-score results with cross-encoder precision. Add a reranking step to your retrieval pipeline. Higher precision on the top results, $0.010 per 1M tokens.
New Embedding Models
Additional open-source models (e5-large-v2, bge-m3) are now available, offering high-precision English retrieval and versatile support for long-form, multilingual documents.
Model Context Protocol (MCP) Support
Turn your Knowledge Bases into a plug-and-play retrieval tool for any MCP-compatible agent framework.
Skip the complexity of self-hosting and the high cost of vendor lock-in with Managed Weaviate, an open-source compatible solution that lets you focus on building, not operations. Launch production-ready vector infrastructure for your AI apps with 1-click provisioning.
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Simple, predictable pricing
$20/month to start on the Small plan, $120/month Medium, $1,600/month Large - with built in HA functionality, no per-query or per-vector metering.
Built on Weaviate 1.37.1
Full compatibility with the upstream Python, JavaScript/TypeScript, Go, and Java clients, plus REST, gRPC, and GraphQL APIs.
RQ8 compression by default
Rotational Quantization 8-bit is enabled at cluster level, giving roughly 4x less RAM per vector than uncompressed storage while preserving recall.
Native DigitalOcean ecosystem integration
OpenAI and Anthropic-compatible pairing with DigitalOcean Serverless Inference for embeddings.