Key Takeaways
- Boomi Knowledge Hub turns scattered enterprise documents, files, and application data into AI-ready, searchable context.
- Boomi Knowledge Hub delivers a fully managed RAG pipeline that inherits existing platform permissions, security, and governance.
- Boomi Knowledge Hub is now available in Early Access with Agent Garden integration, guided setup, and a unified retrieval API.
Knowledge Hub enters Early Access, giving AI agents and people governed search across the documents, files, and application data your business already has.
The Knowledge Your Agents Can’t Reach
Most enterprise knowledge isn’t in a database. It’s in documents, wikis, support tickets, operational logs, and files scattered across systems.
Even when those applications are integrated, the information inside them stays locked in formats AI cannot search. People spend time hunting for answers. Agents work without the context they need and produce unreliable ones.
Teams that try to solve this build their own RAG stack: a vector store, an embedding pipeline, a chunking strategy, retrieval logic, and the infrastructure underneath it. That’s a project before it’s a capability.
Introducing Boomi Knowledge Hub
Boomi Knowledge Hub organizes enterprise knowledge so it can be used reliably by AI agents and people through unified search. It’s a managed service inside the Boomi platform, so it inherits the integrations, permissions, and security model you already use.
Three Capabilities Cover the Lifecycle
- Connect. Bring in files, documents, and application data through a guided flow. Reuse existing Boomi services to move data and schedule pipelines. Configure how content is prepared, then ingest it into a knowledge base.
- Retrieve. Agents query a single retrieval API and get back the most relevant knowledge chunks with their metadata. Filter by metadata to sharpen results. Use a knowledge base as a data tool in Agent Garden, so any agent can consume enterprise knowledge without extra configuration.
- Govern. Assign permissions that align with your existing Boomi governance. Monitor activity, retrieval quality, and usage volumes. Track dataset size, request counts, and ingestion runs.
No Stack to Assemble
The vector store, embedding pipeline, and retrieval infrastructure are managed. You define what knowledge goes in and which agents can use it.
Knowledge bases sit inside repositories, which act as storage and isolation boundaries. This lets you separate HR from Finance, or regulated data from everything else, and apply different access policies to each.
What’s in Early Access
Early Access includes:
- Guided source setup. Add data sources through the Knowledge Hub interface, with parsing, chunking, and metadata settings.
- Managed knowledge bases. Boomi-managed storage, no vector store to run.
- Retrieval API. Similarity search with metadata filtering.
- Agent Garden integration. Use a knowledge base directly as an agent data tool.
- Monitoring and permissions. Activity tracking, retrieval quality metrics, and access aligned with platform governance.
Where Knowledge Hub Fits
Grounding an agent takes three things: trusted data, agreed meaning, and enterprise knowledge. Boomi Data Hub delivers governed golden records. Boomi Meta Hub supplies the endorsed business meaning behind them. Boomi Knowledge Hub brings in everything that was never structured to begin with.
Search used to be about helping people find documents. For agents, it’s about retrieving the right context and being able to govern what they see.
Join the Early Access Program
Knowledge Hub is in Early Access. Participants get hands-on access as capabilities become available and a direct line into what ships next.
If you have a knowledge use case you want to bring to us, we want to hear it. Express interest through our Knowledge Hub Early Access form.