neo4j-vector-index-skill

When to Use

• Creating a vector index (CREATE VECTOR INDEX) on nodes or relationships
• Running vector similarity / nearest-neighbor search
• Storing embeddings on graph nodes during ingestion
• Choosing similarity function, dimensions, HNSW params, or quantization
• Using SEARCH clause (2026.01+) or db.index.vector.queryNodes() (2025.x)
• Batch-updating embeddings after model change
• Combining vector results with immediate graph neighborhood (full retrieval_query pipelines → neo4j-graphrag-skill)

When NOT to Use

• GraphRAG pipelines (VectorCypherRetriever, HybridCypherRetriever, retrieval_query) → neo4j-graphrag-skill
• Fulltext / keyword search (FULLTEXT INDEX, db.index.fulltext.queryNodes) → neo4j-cypher-skill
• GDS graph embeddings (FastRP, Node2Vec, GraphSAGE) → neo4j-gds-skill
• Index admin (list all indexes, drop range/text/lookup indexes) → neo4j-cypher-skill

Pre-flight — Determine Version