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Unified Memory Core for AI Agents

DEV Community·Anya Summers·6 months ago
#oaG10qoL
#memory#guid#ai#agents#retrieval
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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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