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What is Quant AI?

Quant AI is a comprehensive AI platform built into the Quant dashboard. It provides AI-powered search, configurable agents, custom tools, visual workflow automation, vector databases, and more — all accessible through the dashboard UI and a full REST API.

  • AI Search — Add AI-powered search and chat to your website with embeddable widgets
  • Agents — Create configurable AI assistants with custom behaviour, tools, and knowledge bases
  • Tools — Build callable functions backed by edge functions that agents can use
  • Skills — Create reusable instruction sets that enhance agent capabilities
  • Workflows — Design multi-step automations with a visual drag-and-drop editor
  • Vector Database — Store and search documents using semantic similarity
  • Orchestrations — Manage durable, long-running batch processes
  • Tasks — Track and manage AI operations with a Kanban-style board

Quant AI is composed of several interconnected components that work together to provide a flexible AI platform.

  • Models provide the core AI inference capabilities, including chat completions, text embeddings, and image generation
  • Tools extend what models can do by connecting them to external functions running on the edge
  • Agents combine a model, system prompt, tools, skills, and knowledge bases into a configurable assistant you can tailor to your use case
  • Workflows chain agents, tools, and logic together into multi-step automations using a visual editor
  • Vector Database provides semantic search capabilities for retrieval-augmented generation (RAG), allowing agents to draw on your own documents and data

Navigate to the AI Services section in the dashboard sidebar. All AI features are accessible under the AI section of the dashboard, organised by component.

All Quant AI features are available programmatically via the v3 REST API. The base URL for AI endpoints is:

https://api.quantcdn.io/api/v3/organisations/{org}/ai

Replace {org} with your organisation identifier.

See the API Reference for full endpoint documentation.