btw, Neo4j supports vector properties and building vector index out of it. It's supported in cocoindex to configure a vector index: https://cocoindex.io/docs/o

btw, Neo4j supports vector properties and building vector index out of it. It's supported in cocoindex to configure a vector index: https://cocoindex.io/docs/ops/storages#neo4j https://cocoindex.io/docs/ops/storages#neo4j Neo4j also supports building embedding leveraging more information in the graph in addition to single node's property: https://neo4j.com/docs/graph-data-science/current/machine-learning/node-embeddings/ https://neo4j.com/docs/graph-data-science/current/machine-le... (It's hard to incrementally compute them, but users can still compute them after the graph is built) looking forward to learn your thoughts :)