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.Later, you can reload the dataset without recomputing embeddingsdb = DeepLake(    dataset_path="./my_deeplake/", embedding=embeddings, read_only=True)docs = db.similarity_search(query)    Deep Lake Dataset in ./my_deeplake/ already exists, loading from the storageDeep Lake, for now, is single writer and multiple reader. Setting read_only=True helps to avoid acquiring the writer lock.Retrieval Question/Answering‚Äãfrom langchain.chains import RetrievalQAfrom langchain.llms import OpenAIChatqa = RetrievalQA.from_chain_type(    llm=OpenAIChat(model="gpt-3.5-turbo"),    chain_type="stuff",    retriever=db.as_retriever(),)    /home/ubuntu/langchain_activeloop/langchain/libs/langchain/langchain/llms/openai.py:786: UserWarning: You are trying to use a chat model. This way of initializing it is no longer supported. Instead, please use: `from langchain.chat_models import ChatOpenAI`      warnings.warn(query = "What did the president say about Ketanji Brown Jackson"qa.run(query)    'The president said that Ketanji Brown Jackson is a former top litigator in private practice and a former federal public defender. She comes from a family of public school educators and police officers. She is a consensus builder and has received a broad range of support since being nominated.'Attribute based filtering in metadata‚ÄãLet's create another vector store containing metadata with the year the documents were created.import
Activeloop Deep Lake as a Multi-Modal Vector Store that stores embeddings and their metadata including text, Jsons, images, audio, video, and more. It saves the data locally, in your cloud, or on Activeloop storage. It performs hybrid search including embeddings and their attributes.
Activeloop Deep Lake as a Multi-Modal Vector Store that stores embeddings and their metadata including text, Jsons, images, audio, video, and more. It saves the data locally, in your cloud, or on Activeloop storage. It performs hybrid search including embeddings and their attributes. ->: 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.Later, you can reload the dataset without recomputing embeddingsdb = DeepLake(    dataset_path="./my_deeplake/", embedding=embeddings, read_only=True)docs = db.similarity_search(query)    Deep Lake Dataset in ./my_deeplake/ already exists, loading from the storageDeep Lake, for now, is single writer and multiple reader. Setting read_only=True helps to avoid acquiring the writer lock.Retrieval Question/Answering‚Äãfrom langchain.chains import RetrievalQAfrom langchain.llms import OpenAIChatqa = RetrievalQA.from_chain_type(    llm=OpenAIChat(model="gpt-3.5-turbo"),    chain_type="stuff",    retriever=db.as_retriever(),)    /home/ubuntu/langchain_activeloop/langchain/libs/langchain/langchain/llms/openai.py:786: UserWarning: You are trying to use a chat model. This way of initializing it is no longer supported. Instead, please use: `from langchain.chat_models import ChatOpenAI`      warnings.warn(query = "What did the president say about Ketanji Brown Jackson"qa.run(query)    'The president said that Ketanji Brown Jackson is a former top litigator in private practice and a former federal public defender. She comes from a family of public school educators and police officers. She is a consensus builder and has received a broad range of support since being nominated.'Attribute based filtering in metadata‚ÄãLet's create another vector store containing metadata with the year the documents were created.import