vectorstores.alibabacloud_opensearch.AlibabaCloudOpenSearchSettings(...)
Opensearch Client Configuration Attribute:     endpoint (str) : The endpoint of opensearch instance, You can find it     from the console of Alibaba Cloud OpenSearch. instance_id (str) : The identify of opensearch instance, You can find     it from the console of Alibaba Cloud OpenSearch. datasource_name (str): The name of the data source specified when creating it. username (str) : The username specified when purchasing the instance. password (str) : The password specified when purchasing the instance. embedding_index_name (str) :  The name of the vector attribute specified     when configuring the instance attributes. field_name_mapping (Dict) : Using field name mapping between opensearch     vector store and opensearch instance configuration table field names:     {         'id': 'The id field name map of index document.',         'document': 'The text field name map of index document.',         'embedding': 'In the embedding field of the opensearch instance,         the values must be in float16 multivalue type and separated by commas.',         'metadata_field_x': 'Metadata field mapping includes the mapped         field name and operator in the mapping value, separated by a comma         between the mapped field name and the operator.',     }.
vectorstores.redis.Redis(redis_url, ...[, ...])
Wrapper around Redis vector database.
vectorstores.redis.RedisVectorStoreRetriever
Retriever for Redis VectorStore.
vectorstores.chroma.Chroma([...])
Wrapper around ChromaDB embeddings platform.
vectorstores.utils.DistanceStrategy(value[, ...])
Enumerator of the Distance strategies for calculating distances between vectors.
vectorstores.lancedb.LanceDB(connection, ...)
Wrapper around LanceDB vector database.
vectorstores.atlas.AtlasDB(name[, ...])