System liveKnowBase
Enterprise RAG for chat, search, and support with your data
Platforms: Web
Problem
Generic chatbots invent answers. Support and ops teams need responses grounded in real internal knowledge.
Solution
A production RAG system with ingestion, embeddings, retrieval, and cited answers ready for internal tools and customer support.
KnowBase turns company documents into a trusted knowledge layer for AI chat, search, and support with source citations.
Use cases
How people use itReal flows inside KnowBase, from first open to paid actions.
- case_01
Internal knowledge chat
Employees ask questions and get cited answers from company docs.
- case_02
Support copilots
Agents resolve tickets faster with grounded RAG responses.
- case_03
Policy and compliance search
Retrieve HR, security, and product docs with source references.
- case_04
Sales enablement
Surface playbooks and product knowledge during live conversations.
Tech stack
What we built withMobile, native, web, AI, and backend pieces that ship in production.
App
- ▸Next.js
- ▸TypeScript
- ▸Postgres
RAG
- ▸Embeddings
- ▸Vector search
- ▸Hybrid retrieval
- ▸Citations
AI
- ▸OpenAI
- ▸Eval hooks
- ▸Admin controls
Payments & subscriptions
MonetizationHow KnowBase charges, unlocks Pro, and handles money in-app.
Model
Enterprise SaaS
Payments
- ●Card (Stripe)
- ●Annual invoice
Subscription
Team / Business / Enterprise by seats and document volume
Priced by seats and indexed document volume. Enterprise plans add SSO, audit logs, and private deployment options.
Highlights
- ▸Document ingestion pipeline
- ▸Vector search + hybrid retrieval
- ▸Cited AI answers
- ▸Admin controls and evaluation