DigitalOcean Knowledge Bases
Knowledge Bases is a fully managed Retrieval-Augmented Generation (RAG) service that handles embeddings, vector storage, retrieval, reranking, and retrieval— so you can go from documents to intelligent AI apps without managing infrastructure.
Production RAG without infrastructure overhead
Fully managed RAG pipeline
Knowledge Bases handles ingestion, chunking, embeddings, retrieval, reranking, in one system — no management of vector DB or retrieval logic required.
Smarter retrieval out of the box
Hybrid search, metadata filtering, and opt-in reranking with high-quality reranking models improve relevance without tuning pipelines or writing custom logic.
Built-in RAG Playground
Test retrieval quality and LLM outputs visually before shipping. Adjust parameters, compare results, and generate production-ready API calls instantly.
Native agent + MCP integration
Connect any MCP-compatible agent or DigitalOcean AI Agent directly to your knowledge base — no glue code, authentication plumbing, or custom connectors.
From fragmented RAG stacks to one managed system
Most teams building retrieval pipelines are stuck stitching together tools, slowing down development and making production systems harder to scale. Knowledge Bases simplifies this process so you can focus on building.
The problem: RAG shouldn’t be this complex
Most teams:
- Manage multiple embedding models and vector databases
- Struggle with slow, manual retrieval tuning cycles
- Build custom glue code to connect retrieval to agents
This works in early prototypes—but becomes brittle and expensive in production.
The solution: A fully managed RAG system
With Knowledge Bases, you can:
- Run the entire RAG lifecycle in one managed service
- Test, iterate, and improve retrieval in real time with a built-in Playground
- Connect directly to agents via MCP—no custom integration required
One platform. From raw data to production-ready RAG—without the overhead.
From raw documents to production RAG
Stop stitching together vector DBs, embedding models, and retrieval logic. DigitalOcean Knowledge Bases replaces fragmented RAG stacks with a single managed service.
1. Ingest any data source
Upload documents, wikis, runbooks, or structured data directly into your Knowledge Base.
2. Build retrieval automatically
We handle chunking, embeddings, indexing, and storage using managed infrastructure.
3. Optimize and deploy instantly
Enable reranking, test results in the Playground, and connect to agents or APIs in production with one click.
Power production RAG applications across industries
Agent memory & context grounding
Give AI agents persistent memory by connecting them to structured knowledge sources for more accurate, context-aware responses.
Multi-tenant AI applications
Create and manage isolated knowledge bases per customer or project to power scalable, production-ready AI features.
Internal copilots & knowledge search
Enable teams to retrieve and act on internal knowledge across wikis, runbooks, and documentation in real time.
Customer support AI agents
Turn help docs into intelligent assistants that answer customer questions grounded in real product knowledge.
Compliance & legal intelligence
Analyze regulatory documents with metadata filters and generate summarized, auditable answers for compliance workflows.
FAQs
Do I need to manage a vector database?
No. Knowledge Bases includes fully managed vector storage and retrieval infrastructure.
Can I use my own models?
Yes. You can choose from multiple DigitalOcean Serverless Inference embedding models.
Does this work with AI agents?
Yes. MCP integration allows any compatible agent framework to connect directly.
Is reranking required?
No. It is optional but recommended for higher-quality retrieval results. Learn more about available embeddings and reranking models for DigitalOcean Knowledge Bases.
How do I access Knowledge Bases?
Directly in the DigitalOcean console under Data Services, via API, or through the DigitalOcean SDK.
What other Data & Learning products do you offer?
We offer fully-managed data infrastructure, integrated with every layer of the DigitalOcean stack. Check out the Data & Learning page for more product information.
Start building today
From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications.
