index=my_index, deployed_index_id=DEPLOYED_INDEX_ID)my_index_endpoint.deployed_indexesPreviousMarqoNextMeilisearchCreate VectorStore from textsCreate Index and deploy it to an EndpointImports, Constants and ConfigsUsing Tensorflow Universal Sentence Encoder as an EmbedderInserting a test embeddingCreating IndexCreating EndpointDeploy IndexCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook shows how to use functionality related to the GCP Vertex AI MatchingEngine vector database.
This notebook shows how to use functionality related to the GCP Vertex AI MatchingEngine vector database. ->: index=my_index, deployed_index_id=DEPLOYED_INDEX_ID)my_index_endpoint.deployed_indexesPreviousMarqoNextMeilisearchCreate VectorStore from textsCreate Index and deploy it to an EndpointImports, Constants and ConfigsUsing Tensorflow Universal Sentence Encoder as an EmbedderInserting a test embeddingCreating IndexCreating EndpointDeploy IndexCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.