Make LSMVectorIndex ID property configurable

engine/src/main/java/com/arcadedb/index/vector/LSMVectorIndex.java

@@ -87,6 +87,7 @@ public class LSMVectorIndex extends PaginatedComponent implements com.arcadedb.i
   private final String                   indexName;
   private final String                   typeName;
   private final String[]                 propertyNames;
+  private final String                   idPropertyName;
   private final ReentrantReadWriteLock   lock;
   private       int                      associatedBucketId;
 
@@ -227,6 +228,7 @@ protected LSMVectorIndex(final LSMVectorIndexBuilder builder) throws IOException
     this.similarityFunction = builder.getSimilarityFunction();
     this.maxConnections = builder.getMaxConnections();
     this.beamWidth = builder.getBeamWidth();
+    this.idPropertyName = builder.getIdPropertyName();
 
     this.lock = new ReentrantReadWriteLock();
     this.transactionContexts = new ConcurrentHashMap<>();
@@ -282,6 +284,7 @@ protected LSMVectorIndex(final DatabaseInternal database, final String name, fin
     this.similarityFunction = VectorSimilarityFunction.valueOf(json.getString("similarityFunction", "COSINE"));
     this.maxConnections = json.getInt("maxConnections", 16);
     this.beamWidth = json.getInt("beamWidth", 100);
+    this.idPropertyName = json.getString("idPropertyName", "id");
 
     // Load property names
     final List<String> propList = new ArrayList<>();
@@ -1173,6 +1176,7 @@ public JSONObject toJSON() {
     json.put("similarityFunction", similarityFunction.name());
     json.put("maxConnections", maxConnections);
     json.put("beamWidth", beamWidth);
+    json.put("idPropertyName", idPropertyName);
     json.put("version", CURRENT_VERSION);
     return json;
   }
@@ -1276,6 +1280,10 @@ public int getBeamWidth() {
     return beamWidth;
   }
 
+  public String getIdPropertyName() {
+    return idPropertyName;
+  }
+
   /**
    * Gets the compacted sub-index, if any.
    */

engine/src/main/java/com/arcadedb/query/sql/function/vector/SQLFunctionVectorNeighbors.java

@@ -102,10 +102,11 @@ private Object executeWithLSMVector(final LSMVectorIndex lsmIndex, final Object
       final String keyStr = key.toString();
       final String typeName = lsmIndex.getTypeName();
       final String vectorProperty = lsmIndex.getPropertyNames().getFirst();
+      final String idProperty = lsmIndex.getIdPropertyName();
 
-      // Query for the vertex by the ID property (usually "name")
+      // Query for the vertex by the configured ID property
       final ResultSet rs = context.getDatabase().query("sql",
-          "SELECT " + vectorProperty + " FROM " + typeName + " WHERE name = ? LIMIT 1", keyStr);
+          "SELECT " + vectorProperty + " FROM " + typeName + " WHERE " + idProperty + " = ? LIMIT 1", keyStr);
 
       if (rs.hasNext()) {
         final var result = rs.next();

engine/src/main/java/com/arcadedb/schema/LSMVectorIndexBuilder.java

@@ -48,6 +48,7 @@ public class LSMVectorIndexBuilder extends IndexBuilder<TypeIndex> {
   private VectorSimilarityFunction   similarityFunction = VectorSimilarityFunction.COSINE;
   private int                        maxConnections     = 16;
   private int                        beamWidth          = 100;
+  private String                     idPropertyName     = "id";
 
   public LSMVectorIndexBuilder(final DatabaseInternal database, final String typeName, final String[] propertyNames) {
     super(database, TypeIndex.class);
@@ -226,9 +227,28 @@ public LSMVectorIndexBuilder withBeamWidth(final int beamWidth) {
     return this;
   }
 
+  /**
+   * Sets the ID property name used to identify vertices.
+   * This property is used when searching for vertices by ID.
+   * Default is "id".
+   *
+   * @param idPropertyName the ID property name
+   *
+   * @return this builder
+   */
+  public LSMVectorIndexBuilder withIdProperty(final String idPropertyName) {
+    this.idPropertyName = idPropertyName;
+    return this;
+  }
+
   /**
    * Configures the index from a metadata JSON object.
-   * Expected keys: dimensions, similarity, maxConnections, beamWidth
+   * Expected keys:
+   * - dimensions (required): number of vector dimensions
+   * - similarity (optional): similarity function (COSINE, DOT_PRODUCT, EUCLIDEAN), defaults to COSINE
+   * - maxConnections (optional): max connections per node in HNSW graph, defaults to 16
+   * - beamWidth (optional): beam width for search operations, defaults to 100
+   * - idPropertyName (optional): property name used to identify vertices, defaults to "id"
    *
    * @param metadata the metadata JSON
    *
@@ -247,6 +267,9 @@ public LSMVectorIndexBuilder withMetadata(final JSONObject metadata) {
     if (metadata.has("beamWidth"))
       this.beamWidth = metadata.getInt("beamWidth");
 
+    if (metadata.has("idPropertyName"))
+      this.idPropertyName = metadata.getString("idPropertyName");
+
     return this;
   }
 
@@ -275,6 +298,10 @@ public int getBeamWidth() {
     return beamWidth;
   }
 
+  public String getIdPropertyName() {
+    return idPropertyName;
+  }
+
   public String getIndexName() {
     return indexName;
   }