Hybrid retrieval
Blend keyword matching, vector search, metadata filters and business rules for more useful result sets.
Semantic, hybrid and AI-assisted retrieval for teams that need users to find the right document, product, case, policy or record without learning a search syntax.
DipSearch combines classic retrieval with semantic understanding so enterprise users can discover information by intent, not just exact wording.
Blend keyword matching, vector search, metadata filters and business rules for more useful result sets.
Respect permissions and governance while making complex internal content easier to discover.
Shape indexing, ranking, evaluation and integration around your content and users.
Let users ask in plain language and return results that account for synonyms, phrasing and domain context.
Structure documents and records with metadata, categories and entities that make ranking and filtering stronger.
Control what appears by role, source, sensitivity and business policy so search stays useful and safe.
Improve catalogue search where descriptions, synonyms and user vocabulary rarely line up perfectly.
Surface policies, procedures and support material across complex internal repositories.
Help teams discover relevant cases, clauses and precedents with better contextual retrieval.
Find and reuse written, visual or editorial assets based on meaning, topic and metadata.
We can assess your current retrieval experience and define the right index, ranking and governance approach.