To get started head over to Atlas here: quick start.pip install pymongoimport osimport getpassMONGODB_ATLAS_CLUSTER_URI = getpass.getpass("MongoDB Atlas Cluster URI:")We want to use OpenAIEmbeddings so we need to set up our OpenAI API Key. os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")Now, let's create a vector search index on your cluster. In the below example, embedding is the name of the field that contains the embedding vector. Please refer to the documentation to get more details on how to define an Atlas Vector Search index.
MongoDB Atlas is a fully-managed cloud database available in AWS, Azure, and GCP.  It now has support for native Vector Search on your MongoDB document data.
MongoDB Atlas is a fully-managed cloud database available in AWS, Azure, and GCP.  It now has support for native Vector Search on your MongoDB document data. ->: To get started head over to Atlas here: quick start.pip install pymongoimport osimport getpassMONGODB_ATLAS_CLUSTER_URI = getpass.getpass("MongoDB Atlas Cluster URI:")We want to use OpenAIEmbeddings so we need to set up our OpenAI API Key. os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")Now, let's create a vector search index on your cluster. In the below example, embedding is the name of the field that contains the embedding vector. Please refer to the documentation to get more details on how to define an Atlas Vector Search index.