When to Use - Creating a vector index ( ) on nodes or relationships - Running vector similarity / nearest-neighbor search - Storing embeddings on graph nodes during ingestion - Indexing/querying embeddings already written by GDS algorithms - Choosing similarity function, dimensions, HNSW params, or quantization - Using clause (2026.01+) or (2025.x) - Batch-updating embeddings after model change - Combining vector results with immediate graph neighborhood (full retrieval query pipelines → ) - Hybrid search that combines vector results with fulltext or other ranked sources When NOT to Use - Gra…