add_texts(texts[, metadatas])
Upload texts with metadata (properties) to Marqo.
afrom_documents(documents, embedding, **kwargs)
Return VectorStore initialized from documents and embeddings.
afrom_texts(texts, embedding[, metadatas])
Return VectorStore initialized from texts and embeddings.
amax_marginal_relevance_search(query[, k, ...])
Return docs selected using the maximal marginal relevance.
amax_marginal_relevance_search_by_vector(...)
Return docs selected using the maximal marginal relevance.
as_retriever(**kwargs)
Return VectorStoreRetriever initialized from this VectorStore.
asearch(query, search_type, **kwargs)
Return docs most similar to query using specified search type.
asimilarity_search(query[, k])
Return docs most similar to query.
asimilarity_search_by_vector(embedding[, k])
Return docs most similar to embedding vector.
asimilarity_search_with_relevance_scores(query)
Return docs most similar to query.
bulk_similarity_search(queries[, k])
Search the marqo index for the most similar documents in bulk with multiple queries.
bulk_similarity_search_with_score(queries[, k])
Return documents from Marqo that are similar to the query as well as their scores using a batch of queries.
delete([ids])
Delete by vector ID or other criteria.
from_documents(documents[, embedding])
Return VectorStore initialized from documents.
from_texts(texts[, embedding, metadatas, ...])
Return Marqo initialized from texts.
get_indexes()
Helper to see your available indexes in marqo, useful if the from_texts method was used without an index name specified
get_number_of_documents()
Helper to see the number of documents in the index