Search that adapts to your data
From plain text to multimedia, Curiosity blends multiple search methods into one consistent developer experience.

From plain text to multimedia, Curiosity blends multiple search methods into one consistent developer experience.

Modern search isn’t just about keywords .Handle scale, complexity, and different kinds of data.
Query across millions of documents, media assets, or records with low latency and high reliability.
Deliver accurate results that balance keyword precision with semantic understanding, so users get answers that make sense.
Search through images, video, and distributed data sources — not just text — to cover real-world enterprise needs.
Curiosity’s full text engine indexes large document collections and unstructured text at scale. Fast ranking algorithms deliver relevant results with low latency.


Define facets on any field — metadata, entities, or custom attributes. Filters run fast even on large indexes, so users can explore results interactively.
Use embeddings to retrieve results by meaning, not just string matches. Entity-aware processing ensures queries return contextually accurate results.


Blend keyword, vector, and graph-based search in a single API call. Rank results by precision, recall, and semantic similarity — no compromises.
Extract embeddings and metadata from images and video, then query them like any other content. Works side by side with text and entity search.


Connect multiple backends or indexes. A single query can span across systems and datasets, returning a consistent, merged result set.