SurrealDB Vector Search HNSW Index Create a basic HNSW index: With specific distance function and type: Available types: , , , , . Full Table Example HNSW Parameters | Parameter | Description | | --------- | ------------------------------------------------ | | DIMENSION | Vector dimensionality (must match your embeddings)| | DIST | Distance function: , , etc. | | TYPE | Numeric type: , , , , | | EFC | Construction search effort (higher = better index)| | M | Max connections per node | | M0 | Max connections at layer 0 | Querying Vectors The operator performs KNN search. is the number of resul…