4 docs tagged with "qdrant"

Embed vector into Qdrant vector database

Search a Qdrant collection with a dense embedding query or hybrid (dense + sparse) retrieval.

Run a dense or hybrid (dense + sparse) search against a Qdrant collection.

Insert or update points (id + dense + optional sparse vectors + payload) into a Qdrant collection from a JSONL file.