Deployment boundary
Run documents, vectors, and metadata on infrastructure you control and connect only the providers your team selects.
Security and deployment
Deploy private knowledge infrastructure within a defined boundary
Start with one controlled server and one team. Add remote providers, network controls, and operational integrations only when the use case requires them.
ContextHarbor keeps documents, vectors, metadata, and access within a deployment boundary defined by your infrastructure and operating requirements.
Deployment principles
Make the knowledge boundary explicit.
Project separation
Organize documents, embeddings, retrieval, and interfaces around defined project namespaces.
Model-provider choice
Use built-in local embeddings or approved OpenAI-compatible embedding and LLM services.
Defined interfaces
Expose knowledge through controlled interfaces instead of connecting every source directly to every AI client.
Source visibility
Return source information so users and applications can inspect the material behind retrieved context.
Incremental adoption
Begin with one useful knowledge workflow and expand when the results justify it.
Available today
Core controls for a private team deployment.
ContextHarbor includes the controls needed to start with one private team and expand deliberately.
Docker deployment
Run the API, Web portal, PostgreSQL metadata, and project vector storage on infrastructure you control.
Role-based access
Use administration roles and project manager or viewer memberships to control indexing and search.
Project-scoped MCP keys
Connect Remote MCP clients with keys that respect the projects assigned to each user.
Project-isolated data
Keep uploads, metadata, embeddings, and retrieval associated with the selected project.
Local or approved models
Use built-in ONNX embeddings or configure approved OpenAI-compatible embedding and LLM endpoints.
Metrics and traces
Inspect health, Prometheus metrics, usage rollups, Harbor traces, and retrieval activity.
Operating model
Define responsibilities before production.
ContextHarbor
- Product installation guidance
- Application and knowledge configuration
- Supported integration interfaces
- Technical documentation
- Pilot and evaluation support
Your team
- Infrastructure and network controls
- Identity and access requirements
- Provider selection and credentials
- Document ownership and retention
- Monitoring and internal approval
ContextHarbor
Discuss your team’s knowledge workflow.
See how ContextHarbor could support a controlled operational or engineering knowledge workflow within your environment.
Pricing depends on deployment, integration, and support requirements.