Keyword search fails your users — they search "cheap flights next week" and get zero results because your database says "affordable air travel." Semantic search understands meaning, not just words. I replace or augment your existing search with vector-based semantic search that actually finds what users are looking for.

I build the full pipeline: generating embeddings for your content (products, articles, documents, profiles), storing them in a vector database (pgvector, Pinecone, or Weaviate), and exposing a search API that ranks results by semantic relevance. I handle hybrid search (combining vector + keyword for best results), re-ranking, and filtering by metadata.

The result is a search experience that feels intelligent — because it is.