Can vector_db .search() return score?

[YZx0pa]

If I set up pgvector db as below
vector_db = PgVector(
db_url=db_url,
schema="ai",
table_name="embeddings",
search_type=SearchType.hybrid,
distance=Distance.cosine, # Use cosine distance for similarity search
reranker=True,

embedder=OpenAIEmbedder(id="text-embedding-3-small")

)

when I use the vector_db.search(query), is there a way to return the score together with the document (eg. disance) .
Thanks!

[monali7-d]

Hey @YZx0pa
So sorry for the delay in getting back to you — this slipped through the cracks and we’re now working through all the requests one by one. Thank you so much for reaching out and supporting Agno! I’ve shared your message with the team, and we’ll get back to you as soon as we can. If this is urgent, please feel free to let us know. Really appreciate your patience!

[monali7-d]

Hey @YZx0pa
So sorry for the delay in getting back to you — this slipped through the cracks and we’re now working through all the requests one by one. Thank you so much for reaching out and supporting Agno! I’ve shared your message with the team, and we’ll get back to you as soon as we can. If this is urgent, please feel free to let us know. Really appreciate your patience!