Memory Retrieval
Memory retrieval turns stored experience into active cognitive context via hybrid OpenSearch recall, combining lexical and vector retrieval with ranking signals and feedback recording.
52 articles on distributed systems, AI infrastructure, and cognitive computing.
Memory retrieval turns stored experience into active cognitive context via hybrid OpenSearch recall, combining lexical and vector retrieval with ranking signals and feedback recording.
This article opens the public series on Cognitive Substrate: how persistent, learnable memory differs from logging, and how ingestion turns structured experience into durable archive plus searchable index.
How to build a hybrid search system combining BM25 full-text search with k-NN vector retrieval, using reciprocal rank fusion to merge result sets.
How to model user attention and comprehension as typed events, then route them through a distributed pipeline to ClickHouse and OpenSearch.
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