Powerful search, far beyond semantic
Semantic engines only match meaning within the data you upload. RelaSync layers exact matching, structured constraints and semantic understanding into one query language — so you find what similarity alone never will.
Where semantic search stops
Semantic search on the data you provide has become the default. It is useful — and it is not enough.
It only sees what you feed it
Semantic engines turn your data into vectors and compare them to your query. That is all they do. They cannot reason across fields, enforce constraints or combine signals.
Similar is not equal
A match "in meaning" is not a match "in fact". Exact requirements — a certification, a number of years, a location — get blurred into an overall similarity score.
One query, one dimension
Pure semantic similarity treats every search as a single fuzzy comparison. Real questions mix hard constraints with intent, and embeddings alone cannot express both.
RelaSync vs. classic semantic search
Same data, very different engines. Here is what changes when search goes beyond semantic.
From data to results in three steps
Bring your data
Connect the sources you already have. RelaSync works with your existing data, wherever it lives.
Ask what you need
Write one expressive query: the constraints that must hold and the intent behind your search.
Get what others miss
Precise, ranked, explainable results — the profiles a semantic-only search would never surface.
Built into your stack, on your terms
RelaSync is not a one-size-fits-all product. We integrate the search engine into your existing systems, tuned to your data and your use case. Tell us what you need to find — we'll shape the solution around it.
Talk to our team