Semantic Search
Search that understands what someone means, so customers find products and documents by describing them.
3–6 weeks
Keyword search fails exactly when it matters — when the customer does not know your product names. We add embedding-based retrieval over your catalogue or document set so a descriptive query returns the right result, alongside conventional filtering rather than replacing it.
What this solves
- Searches returning nothing because the wording did not match
- Customers unable to find products without knowing exact names
- Internal document search that only works if you know the title
- Category structures that do not match how people actually shop
What you get
- Embedding pipeline over your catalogue or documents
- Hybrid semantic and keyword retrieval
- Domain taxonomy modelled on how customers actually browse
- Relevance tuning against real queries
Technology
pgvectorPineconeEmbeddingsPostgreSQLNext.js
Where we've deployed it
Industries
Talk to the engineers who build it
Tell us the problem and we'll tell you whether semantic search is the right answer — and what it would take.