1. Oracle AI Vector Search User's Guide
  2. Query Data with Similarity Searches
  3. Perform Approximate Similarity Search Using Vector Indexes
  4. Optimizer Plans for Vector Indexes

Optimizer Plans for Vector Indexes

Optimizer plans for HNSW and IVF indexes are described in the following sections.

  • Optimizer Plans for HNSW Vector Indexes
    A Hierarchical Navigable Small World Graph (HNSW) is a form of In-Memory Neighbor Graph vector index. It is a very efficient index for vector approximate similarity search.
  • Optimizer Plans for IVF Vector Indexes
    Inverted File Flat (IVF) is a form of Neighbor Partition Vector index. It is a partition-based index that achieves search efficiency by narrowing the search area through the use of neighbor partitions or clusters.

Parent topic: Perform Approximate Similarity Search Using Vector Indexes