In my last video, I covered how AI agents store memory. But storing it is only half the problem. In this one, we dig into how agents retrieve the right memory at the right time.
I cover keyword search, semantic search, hybrid retrieval, and re-ranking, then dig into how OpenClaw implements all of it in practice using SQLite, BM25, and vector embeddings.
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