Chatevo
My own embeddable AI chatbot platform - businesses connect their content and deploy an agent that answers questions and takes live actions on any website.
What is Chatevo?
Chatevo is Imam Faheem's own embeddable AI assistant. A business connects documents and deploys an agent that answers from that material and can call live tools. The core is built. Preview at chatbotlab.vercel.app.
The agent goes beyond static retrieval. It supports live tool integrations: REST APIs, MCP tools, and custom data queries mid-conversation. That means it can check an order status, look up availability, or submit a form — not only answer from a knowledge base.
The core platform is built and multi-tenant ready. I am in the final phase before public launch: onboarding polish, pricing, and opening general access. The architecture, RAG pipeline, and tooling are proven and in place.
Launch status
Core platform complete. Finalising onboarding, pricing tiers, and go-to-market ahead of public launch.
What stack does Chatevo use?
- RAG
- MCP
- Qdrant
- OpenAI
- Stripe
- Next.js
- Node.js
- PostgreSQL
- TanStack Query
- Zustand
- Zapier
- Webhooks
- Tool Calling
- Postmark
- SSE
- RBAC
What does Chatevo do?
01
Knowledge base ingestion from documents, URLs, and pasted content
02
Full RAG pipeline: upload, chunk, embed, retrieve, and respond
03
Live tool integrations via REST APIs, MCP, and custom query tools
04
AI agent builder with guided configuration in plain language
05
Embeds on any website with a single script tag
06
Multi-tenant with isolated knowledge bases and agent configs per business
07
Stripe-powered subscription billing with tiered plans
08
Works across any industry without domain-specific limitations
Screenshots
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