VECTOR SEARCH_
Semantic search.
Search things and products using natural language. Powered by AI-generated vector embeddings and cosine similarity.
HOW IT WORKS
1
Your search query is converted into a 1024-dimensional vector embedding using BGE-M3 via Pentatonic AI Gateway.
2
The embedding is compared against pre-computed embeddings stored with each entity using cosine similarity.
3
Results are ranked by similarity score and filtered by your criteria.
Embeddings are generated asynchronously when entities are created or updated. Entities without embeddings won't appear in search results.