Time-aware retrieval augmented generation with neuromorphic memory. Documents decay, consolidate, and activate like biological memories.
Documents are partitioned by time with configurable decay functions
See how temporal context affects retrieval
Query response will appear here with temporal context...
Neuromorphic-inspired temporal memory system
Documents decay according to Gaussian + exponential functions based on age and access patterns.
Shards activate via leaky integrate-and-fire neurons based on query relevance.
Reason across time periods with temporal bias in attention scores.
Important memories preserved, low-importance documents fade and merge.
Performance on temporal reasoning benchmarks
Dive into the complete theoretical framework, mathematical proofs, and implementation details.