Example:

.. code-block:: python

from langchain_community.vectorstores import CouchbaseVectorStore from langchain_openai import OpenAIEmbeddings

from couchbase.cluster import Cluster from couchbase.auth import PasswordAuthenticator from couchbase.options import ClusterOptions from datetime import timedelta

auth = PasswordAuthenticator(username, password) options = ClusterOptions(auth) connect_string = "couchbases://localhost" cluster = Cluster(connect_string, options)

Wait until the cluster is ready for use.

cluster.wait_until_ready(timedelta(seconds=5))

embeddings = OpenAIEmbeddings()

vectorstore = CouchbaseVectorStore( cluster=cluster, bucket_name="", scope_name="", collection_name="", embedding=embeddings, index_name="vector-index", )

vectorstore.add_texts(["hello", "world"]) results = vectorstore.similarity_search("ola", k=1)