Return VectorStore initialized from documents and embeddings.
afrom_texts(texts, embedding[, metadatas, ...])
Construct Qdrant wrapper from a list of texts.
amax_marginal_relevance_search(query[, k, ...])
Return docs selected using the maximal marginal relevance.
amax_marginal_relevance_search_by_vector(...)