Integrate hero_embedder for semantic recommendations #19

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opened 2026-02-09 21:05:42 +00:00 by mik-tf · 1 comment

mik-tf commented

2026-02-09 21:05:42 +00:00

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Overview

Add vector-based semantic search and recommendation capabilities using hero_embedder. This enables "similar products" suggestions, semantic search queries ("I need fast GPU compute"), and personalized recommendations.

Hero Component

Binary: hero_embedder
Engine: Vector embeddings with similarity search
Location: lhumina_code/hero_embedder/

Implementation Plan

Add hero_embedder to Docker Compose stack
Generate embeddings for all product listings on seed/create
Implement similarity search endpoint
Add "Similar Products" widget to product detail pages
Add semantic search option to marketplace search
Implement user preference-based recommendations

Acceptance Criteria

Product detail pages show relevant similar products
Semantic search returns contextually relevant results
Embeddings auto-update when listings change
Recommendation quality is measurably better than random

Dependencies

Requires Phase 1 complete
Complementary to #18 (hero_index_server)

## Overview Add vector-based semantic search and recommendation capabilities using `hero_embedder`. This enables "similar products" suggestions, semantic search queries ("I need fast GPU compute"), and personalized recommendations. ## Hero Component - **Binary**: `hero_embedder` - **Engine**: Vector embeddings with similarity search - **Location**: `lhumina_code/hero_embedder/` ## Implementation Plan 1. Add `hero_embedder` to Docker Compose stack 2. Generate embeddings for all product listings on seed/create 3. Implement similarity search endpoint 4. Add "Similar Products" widget to product detail pages 5. Add semantic search option to marketplace search 6. Implement user preference-based recommendations ## Acceptance Criteria - [ ] Product detail pages show relevant similar products - [ ] Semantic search returns contextually relevant results - [ ] Embeddings auto-update when listings change - [ ] Recommendation quality is measurably better than random ## Dependencies - Requires Phase 1 complete - Complementary to #18 (hero_index_server)