Keep knowledge inside
Run storage, parsing, embedding, and retrieval in the environment your organization controls.
Private enterprise knowledge infrastructure
Bring AI to your knowledge. Not the reverse.
Your knowledge stays private. Your AI stays informed.
ContextHarbor keeps documents, retrieval, and project storage inside the environment you control, then exposes the same knowledge layer through MCP, REST API, CLI, and Web UI.
- On-premises deployment
- Hybrid retrieval
- Project-scoped knowledge
- Pricing on request
ContextHarbor portalPrivate knowledge boundary
DashboardOverview, status, and recent work.
ProjectsScoped workspaces with clear ownership.
SearchFilters, chunks, and grounded answers.
Private knowledge flow
A controlled path from documents to grounded AI.
The harbor boundary makes ingestion, retrieval, storage, and access visible as one system instead of a loose collection of tools.
Enterprise promise
Control, precision, connection.
Retrieve the exact context
Balance semantic meaning with exact-term matching for specifications, identifiers, codes, and names.
Connect approved workflows
Expose the same knowledge layer through MCP, REST API, CLI, and browser experiences.
Platform
Built for organizational knowledge, not a demo folder.
Project namespaces
Keep documents, embeddings, retrieval, and tools separated by project boundary.
Document intake
Upload PDFs, DOCX, Markdown, and text files, then track them through indexing.
Hybrid retrieval
Blend semantic matches with exact-term lookup for names, codes, and technical language.
Browser tools
Use search filters, neighboring chunks, and project-scoped operations from the portal.
Approved AI access
Expose the same knowledge layer through MCP, REST API, CLI, and Web UI.
Local control
Keep embeddings and storage inside the deployment boundary with local or approved providers.
Product evidence
Real portal surfaces, not placeholder mockups.
These screenshots show the actual portal mechanics: dashboard, project workspaces, hybrid search, and MCP setup.
The live dashboard keeps projects, document activity, and system status visible.
Deployment and control
Deploy where enterprise knowledge belongs.
The deployment layer keeps data, access, and retrieval inside one controlled system.
Docker deploymentPackage the API and portal for repeatable enterprise installation.
PostgreSQL metadataStore users, projects, files, settings, and indexing jobs separately.
LanceDB vectorsKeep the vector store with the deployment boundary and project scope.
Authenticated accessProtect the portal, API, and remote MCP transport with issued credentials.
Commercial engagement
Fit the platform to your environment.
Start with the boundary, the knowledge sources, and the workflows that need reliable retrieval.
Assess knowledge sources, security boundaries, and AI workflows.
Deploy the platform and approved embedding configuration.
Integrate business applications, agents, and team workflows.
Support adoption, operational handoff, and further capability.
PricingOn request
ContextHarbor
Give enterprise AI the context it needs, without surrendering control.
Start with your deployment boundary, knowledge sources, and the workflows that need reliable retrieval.
Request a consultation