Search dense embeddings — ducksemantics_embedding_search • ducksemantics

Search dense embeddings

Usage

ducksemantics_embedding_search(
  conn,
  embedding,
  provider = NULL,
  subject_kind = NULL,
  top_k = 10L,
  metric = c("cosine", "cosine_distance", "l2", "inner_product"),
  table = NULL
)

Arguments

conn: DBI connection.
embedding: Numeric query vector.
provider: Optional provider identity.
subject_kind: Optional subject-kind filter.
top_k: Number of results.
metric: "cosine", "cosine_distance", "l2", or "inner_product".
table: Caller-selected embedding table.

Value

Ranked embedding rows.