Vector search - generating vectors

Neo4j Graph Platform
3

Some progress but I've got error:

Failed to invoke procedure db.index.vector.queryNodes: Caused by: java.lang.IllegalArgumentException: Index query vector has 196 dimensions, but indexed vectors have 384.

I created index:

CREATE VECTOR INDEX `abstract-embeddings`
FOR (n: Abstract) ON (n.embedding)
OPTIONS {indexConfig: {
 `vector.dimensions`: 384,
 `vector.similarity_function`: 'cosine'
}}

My embeddings were created with SBERT, all-MiniLM-L6-v2 model (384 dimensional dense vector space)

But when I run query


MATCH (title:Title)<--(:Paper)-->(abstract:Abstract)
WHERE toLower(title.text) = 'efficient and robust approximate nearest neighbor search using
  hierarchical navigable small world graphs'

CALL db.index.vector.queryNodes('abstract-embeddings', 10, abstract.embedding)
YIELD node AS similarAbstract, score

MATCH (similarAbstract)<--(:Paper)-->(similarTitle:Title)
RETURN similarTitle.text AS title, score

I get error as above. What is 'Index query vector'? Where I can set 'dimenstions' parameter for that?