neo4j-vector-index-skill
Add semantic search to your Neo4j graph.
What it does
Guides implementation of Neo4j vector indexes, embedding ingestion, and similarity searches, including hybrid retrieval.
When to use it
Use when creating vector indexes, ingesting embeddings, configuring similarity search, updating embeddings, or combining ranked retrieval sources.
How to use it
It changes how the agent implements Neo4j vector indexing, embedding ingestion, and similarity search in the project.
What you provide
- An existing project
Uses
Good to know
- cannot be undone: Neo4j
What you need · 3
Requires Neo4j 2025.01 or newer; vector SEARCH requires 2026.01 or newer, and fulltext SEARCH requires 2026.09 or newer.
The Python ingestion example authenticates to Neo4j with a user and password; their source is not specified.
Access · 3
This skill
Neo4j
Creates and rebuilds Neo4j indexes (irreversible)
OpenAI
Sends text to OpenAI