Hybrid retrieval
Search by structure, meaning, relationships, and time.
MaluDB combines relational filters, vector similarity, graph traversal, and bitemporal validity into permission-aware retrieval plans for AI applications.
select * from match_memory(
query => 'why did renewal risk increase?',
search_modes => array['relational','vector','graph','temporal'],
compartment => 'enterprise_sales'
);Relational precision
Constrain memory retrieval by tenant, account, source, role, time window, confidence, and validation state.
Vector recall with compartments
Semantic candidates are generated inside authorized compartments so irrelevant or forbidden memories stay out of context.
Graph and temporal reasoning
Follow relationship edges and valid-time windows to explain how a decision, incident, or workflow evolved.
SQL
Structured filters
Use SQL for exact constraints and reporting.
VEC
Semantic recall
Find memories by meaning and context.
BIO
Bitemporal truth
Ask what was known, when it was true, and when it changed.