States Supreme Court. Justice Breyer, thank you for your service.    One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.    And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.Similarity search by vector‚ÄãIt is also possible to do a search for documents similar to a given embedding vector using similarity_search_by_vector which accepts an embedding vector as a parameter instead of a string.embedding_vector = OpenAIEmbeddings().embed_query(query)docs = db.similarity_search_by_vector(embedding_vector)print(docs[0].page_content)The query is the same, and so the result is also the same.    Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you‚Äôre at it, pass the Disclose Act so Americans can know who is funding our elections.    Tonight, I‚Äôd like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer‚Äîan Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.    One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.    And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.Asynchronous operations‚ÄãVector stores are usually run as a separate service that requires some IO operations, and therefore they might be called asynchronously. That gives performance benefits as you don't waste time waiting for responses from external services. That might also be important if you work with an asynchronous framework, such as FastAPI.LangChain supports
Head to Integrations for documentation on built-in integrations with 3rd-party vector stores.
Head to Integrations for documentation on built-in integrations with 3rd-party vector stores. ->: States Supreme Court. Justice Breyer, thank you for your service.    One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.    And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.Similarity search by vector‚ÄãIt is also possible to do a search for documents similar to a given embedding vector using similarity_search_by_vector which accepts an embedding vector as a parameter instead of a string.embedding_vector = OpenAIEmbeddings().embed_query(query)docs = db.similarity_search_by_vector(embedding_vector)print(docs[0].page_content)The query is the same, and so the result is also the same.    Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you‚Äôre at it, pass the Disclose Act so Americans can know who is funding our elections.    Tonight, I‚Äôd like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer‚Äîan Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.    One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.    And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.Asynchronous operations‚ÄãVector stores are usually run as a separate service that requires some IO operations, and therefore they might be called asynchronously. That gives performance benefits as you don't waste time waiting for responses from external services. That might also be important if you work with an asynchronous framework, such as FastAPI.LangChain supports