Vector Search - Faster With Vector Pool

This video demonstrates configuring a Vector Pool in Exadata Cloud Infrastructure (ExaDBD) on OCI. Learn how to enable the Vector Pool memory area within the SGA, a prerequisite for creating _vector_ indexes and optimizing for current and future ai workloads. This setup is crucial for efficient vector search capabilities within your oracle database on oracle cloud infrastructure.
To allow vector index creation, you must enable a new memory area stored in the SGA called the Vector Pool. The Vector Pool is a dedicated memory allocated in SGA to store in-memory Hierarchical Navigable Small World i.e HNSW vector indexes and all associated metadata. It is also used to speed up Inverted File (IVF) Flat index creation as well as DML operations on base tables with IVF indexes.

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Vector Pool Holds Vector embeddings and Neighbor graph structures. The size of the Vector Pool is controlled by VECTOR_MEMORY_SIZE.

Documentation:
Vector Pool
https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/size-vector-pool.html
By: Sneha Nitin Pednekar and Rob Watson

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