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Unified Memory Core for AI Agents

DEV Community·Anya Summers·about 1 month ago
#oaG10qoL
#memory#guid#ai#agents#retrieval#oracle
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A practical guide to building episodic, lexical, vector, and graph memory workflows in Oracle AI Database Companion notebook: Unified Agent Memory with Oracle AI Database Key takeaways A unified memory core combines episodic, lexical, semantic, and relationship-aware retrieval in one governed platform. Hybrid retrieval (Oracle Text + vector + metadata filters) improves reliability in enterprise queries. GRAPH_TABLE adds business relationship context beyond nearest-neighbor similarity. DBMS_SCHEDULER and VPD patterns make memory lifecycle and security operational. The companion notebook demonstrates all core patterns in a runnable workflow. What agent memory is and why it matters Agent memory is the stored context an AI system can access across steps, sessions, or workflows.…

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