01Persistent semantic memory system with vector embeddings and HNSW indexing for high-performance retrieval.
02Dynamic memory decay algorithm to manage information relevance based on confidence, time, and access.
03Comprehensive knowledge graph engine for creating entities, tracking relationships, and supporting transitive inference.
04Integrated LRU cache for embedding vectors, significantly reducing external API calls.
05Hybrid search combining vector similarity and keyword matching for improved recall.
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