[Question] Using HNSW index requires using Euclidian Distance Operator?

[john0isaac]

Description

You have this comment from the pgvector playgroud repo

# Define HNSW index to support vector similarity search through the vector_l2_ops access method (Euclidean distance). The SQL operator for Euclidean distance is written as <->.

Does it mean that the HNSW index will only work with <-> operator?

Since here in the repo you are using the cosine similarity operator not the <->

rag-postgres-openai-python/src/backend/fastapi_app/postgres_searcher.py

Line 48 in 61bde71

SELECT id, RANK () OVER (ORDER BY {self.embedding_column} <=> :embedding) AS rank