FyreBot interface
AI SaaS·Live

FyreBot

Multi-tenant AI chatbot platform trained on business-provided knowledge, with retrieval-scoped answers and embeddable React, Vue, and JavaScript widgets.

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Overview

FyreBot is a multi-tenant AI chatbot platform trained on each business's own knowledge base, giving retrieval-scoped answers rather than generic model output. It ships as embeddable widgets for React, Vue, and plain JavaScript sites.

Retrieval-scoped answers matter because a support chatbot that confidently makes things up is worse than no chatbot — grounding responses in the business's actual documents keeps answers accurate to what's true for that tenant.

My role

I built the multi-tenant RAG pipeline — ingestion, vector retrieval, and grounded response generation — and the embeddable SDKs that let a business drop the widget into their own site.

Key capabilities

  • Private knowledge grounding
  • Multi-tenant APIs
  • Embeddable web SDK

Tech stack

  • RAG
  • OpenAI
  • Embeddable SDKs

Scale & operating detail

3

RAG pipeline stages: private data → vector context → grounded answer

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