Knowledge and Policy Systems
Give employees and customers answers grounded in approved company knowledge, with traceable sources and human review where needed.
The problem
Company knowledge lives in scattered documents, wikis, and inboxes. People answer the same questions repeatedly, and nobody can verify where an answer came from or whether it reflects current policy.
How it runs today
Teams search shared drives, ping colleagues, or paste documents into general-purpose chatbots that keep no sources and offer no access control.
With Heym
Upload documents into managed vector stores, wire RAG and agent nodes into a workflow, and publish it as an internal assistant or an authenticated portal. Answers keep their sources, and sensitive replies can wait for review before they reach the user.
The workflow, end to end
The RAG Q&A Agent template is an importable starting point: it retrieves from your vector store, answers with sources, and is ready to extend with guardrails and review steps.
Where control lives
Guardrails filter unsafe content, human review gates sensitive answers, and execution traces record every retrieval and model call.
One controlled system that answers from approved knowledge instead of guesswork, with an audit trail for every answer.
Built with these Heym capabilities
Common applications
Deployment and integration
- Self-host with Docker or Kubernetes, keeping data on your infrastructure.
- Connect your own model providers: OpenAI, Ollama, vLLM, and more.
- Integrate over HTTP, webhooks, Slack, email, and MCP tools.
- Expose finished workflows as APIs, portals, or MCP servers.
Have a process that fits this pattern?
Show us the workflow, data sources, tools, and human decisions involved. We will help map it to Heym.