Can I vibe code Syte?

Build a complete visual search and product recommendation microservice tailored for a Shopify apparel merchant.

CORE DATA MODELS:
1. ProductVariant: id, shopify_product_id, shopify_variant_id, sku, title, image_url, inventory_quantity, status, price, metafields.
2. ProductEmbedding: variant_id, image_url, embedding_vector (768-dim float array from CLIP/ViT), tagged_attributes (jsonb: category, pattern, sleeve_length, color, style).
3. VisualQueryLog: id, user_session_id, input_image_url, matched_variant_ids, latency_ms, clicked_variant_id.

CORE ENGINE & PIPELINE:
1. Catalog Ingestion Sync: Create a Webhook listener for Shopify `products/create`, `products/update`, and `inventory_levels/connect`. Download new product images, convert them to standard 224x224 tensors, run inference through a vision model (or CLIP API/HuggingFace inference endpoint) to generate a 768-dimensional embedding vector, and store it in Qdrant or Pgvector indexed with HNSW.
2. Automated Attribute Extraction: Run product images through a multimodal vision prompt to extract structured tags: apparel type, neckline, pattern, length, primary/secondary colors. Write these tags back into Shopify Product Metafields for native text search enrichment.
3. Visual Search API: Implement a REST endpoint `/api/v1/search-by-image`. Accept multipart image upload or image URL. Process input image through the visual encoder to produce an embedding. Perform cosine similarity vector search against active, in-stock variants. Return top 20 matching Shopify variants sorted by similarity score, filtered by inventory_quantity > 0.
4. "Shop The Look" Bounding Box Detection: Implement `/api/v1/shop-the-look`. Detect distinct apparel items in a lifestyle photo (e.g., top, pants, shoes). Crop each detected bounding box, embed each crop, perform vector search per crop, and return a structured JSON response containing bounding box coordinates and top matching inventory SKUs for each detected garment.

FRONTEND EMBEDDABLE WIDGET:
1. Provide a lightweight (~15KB) vanilla JavaScript snippet that can be injected into a Shopify theme.
2. The widget inserts a "Search by Image" camera icon into the site's native search bar and a "Find Similar" button on Product Detail Pages (PDPs).
3. Clicking "Search by Image" opens a modal allowing users to upload a photo or snap a picture via mobile camera, sending the payload to `/api/v1/search-by-image` and rendering a responsive product grid.

OUT OF SCOPE:
1. Enterprise B2B contract workflows or manual phone sales management.
2. Real-time dynamic pricing engines.
3. Multi-tenant billing portals for external agency reselling.

FAILURE MODES TO HANDLE:
1. Out-of-stock items returning in similarity results: query must join vector scores against active inventory flags in real time.
2. Slow image encoding latency: cache embeddings for common query images and enforce sub-200ms vector lookup times using HNSW indexing.

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