shopify-ia-backend

What problem does it solve?

This Skill solves the need for a reliable backend that powers FluxBot Studio’s AI capabilities for a Shopify storefront, so developers don’t have to wire LLM orchestration, embeddings, retrieval, and proactive triggers themselves.

Core Features & Use Cases

• Chat orchestration across LLM providers: Handles requests to OpenAI, Anthropic, and Gemini to produce consistent chat behavior for the frontend.
• RAG with embeddings and vector search: Ingests knowledge via embeddings and supports semantic retrieval to ground answers in stored content.
• Intent detection and proactive triggers: Detects user intent and runs triggers that can initiate helpful AI responses or workflows.
• AI analytics and safety guardrails: Produces standardized analytics/metrics while enforcing input validation, rate limiting, and secure logging practices.

Quick Start

Call the backend API using the required headers to send a chat request for a specific Shopify shop domain, and receive a structured AI response that may use RAG and intent detection.