H2K AI Knowledge Assistant

Product demo

Watch a short walkthrough of private document indexing, semantic search, and cited AI answers — built for multi-tenant enterprise teams.

See the product in action

Document upload → indexing → Ask AI with source citations.

How teams ask questions and verify answers against uploaded documents.

What you see in the demo — available today for document RAG and multi-agent workflows on paid plans.

Faster decisions, fewer repeated questions, and answers teams can verify before they act.

Teams ship answers they can defend — with company knowledge kept isolated.

New knowledge becomes searchable within minutes — not after another training deck or wiki rewrite.

Operators, analysts, and support agents find the right procedure on the first try.

Faster, more reliable answers for ops, support, and HR — with source citations. Included on paid plans (not on free trial Search-only access).

Built for private, multi-tenant RAG with observable agent workflows.

Modern LLMs
Gemini and OpenAI providers for chat and embeddings
PostgreSQL + pgvector
Tenant-scoped vector storage for RAG retrieval
Background workers
Async extract → chunk → embed indexing pipeline
Next.js platform
Secure web app for admins and employees
Multi-tenant architecture
Data isolation and role-based access controls
LangGraph agents
Multi-step Policy Q&A, support draft, and HR handbook workflows
LangSmith tracing
Production observability for agent runs and latency

Start free on the platform, book a guided walkthrough, or email hiren@h2kitech.com.