the query and access all resulting Documents at once, run:loader.load()Here is an example response of loader.load():[    Document(        page_content="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas a libero porta, dictum ipsum eget, hendrerit neque. Morbi blandit, ex ut suscipit viverra, enim velit tincidunt tellus, a tempor velit nunc et ex. Proin hendrerit odio nec convallis lobortis. Aenean in purus dolor. Vestibulum orci orci, laoreet eget magna in, commodo euismod justo.",         metadata={"id": 83209, "date": "2022-11-13T18:26:45.000000Z"}    ),    Document(        page_content="Integer at finibus odio. Nam sit amet enim cursus lacus gravida feugiat vestibulum sed libero. Aenean eleifend est quis elementum tincidunt. Curabitur sit amet ornare erat. Nulla id dolor ut magna volutpat sodales fringilla vel ipsum. Donec ultricies, lacus sed fermentum dignissim, lorem elit aliquam ligula, sed suscipit sapien purus nec ligula.",         metadata={"id": 89313, "date": "2022-11-13T18:28:53.000000Z"}    ),    Document(        page_content="Morbi tortor enim, commodo id efficitur vitae, fringilla nec mi. Nullam molestie faucibus aliquet. Praesent a est facilisis, condimentum justo sit amet, viverra erat. Fusce volutpat nisi vel purus blandit, et facilisis felis accumsan. Phasellus luctus ligula ultrices tellus tempor hendrerit. Donec at ultricies leo.",         metadata={"id": 87732, "date": "2022-11-13T18:49:04.000000Z"}    )]Using multiple columns as content‚ÄãYou can choose to use multiple columns as content:from langchain.document_loaders import RocksetLoaderfrom rockset import RocksetClient, Regions, modelsloader = RocksetLoader(    RocksetClient(Regions.usw2a1, "<api key>"),    models.QueryRequestSql(query="SELECT * FROM langchain_demo LIMIT 1 WHERE id=38"),    ["sentence1", "sentence2"],  # TWO content columns)Assuming the "sentence1" field is "This is the first sentence." and the "sentence2" field is "This is the second sentence.", the
Rockset is a real-time analytics database which enables queries on massive, semi-structured data without operational burden. With Rockset, ingested data is queryable within one second and analytical queries against that data typically execute in milliseconds. Rockset is compute optimized, making it suitable for serving high concurrency applications in the sub-100TB range (or larger than 100s of TBs with rollups).
Rockset is a real-time analytics database which enables queries on massive, semi-structured data without operational burden. With Rockset, ingested data is queryable within one second and analytical queries against that data typically execute in milliseconds. Rockset is compute optimized, making it suitable for serving high concurrency applications in the sub-100TB range (or larger than 100s of TBs with rollups). ->: the query and access all resulting Documents at once, run:loader.load()Here is an example response of loader.load():[    Document(        page_content="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas a libero porta, dictum ipsum eget, hendrerit neque. Morbi blandit, ex ut suscipit viverra, enim velit tincidunt tellus, a tempor velit nunc et ex. Proin hendrerit odio nec convallis lobortis. Aenean in purus dolor. Vestibulum orci orci, laoreet eget magna in, commodo euismod justo.",         metadata={"id": 83209, "date": "2022-11-13T18:26:45.000000Z"}    ),    Document(        page_content="Integer at finibus odio. Nam sit amet enim cursus lacus gravida feugiat vestibulum sed libero. Aenean eleifend est quis elementum tincidunt. Curabitur sit amet ornare erat. Nulla id dolor ut magna volutpat sodales fringilla vel ipsum. Donec ultricies, lacus sed fermentum dignissim, lorem elit aliquam ligula, sed suscipit sapien purus nec ligula.",         metadata={"id": 89313, "date": "2022-11-13T18:28:53.000000Z"}    ),    Document(        page_content="Morbi tortor enim, commodo id efficitur vitae, fringilla nec mi. Nullam molestie faucibus aliquet. Praesent a est facilisis, condimentum justo sit amet, viverra erat. Fusce volutpat nisi vel purus blandit, et facilisis felis accumsan. Phasellus luctus ligula ultrices tellus tempor hendrerit. Donec at ultricies leo.",         metadata={"id": 87732, "date": "2022-11-13T18:49:04.000000Z"}    )]Using multiple columns as content‚ÄãYou can choose to use multiple columns as content:from langchain.document_loaders import RocksetLoaderfrom rockset import RocksetClient, Regions, modelsloader = RocksetLoader(    RocksetClient(Regions.usw2a1, "<api key>"),    models.QueryRequestSql(query="SELECT * FROM langchain_demo LIMIT 1 WHERE id=38"),    ["sentence1", "sentence2"],  # TWO content columns)Assuming the "sentence1" field is "This is the first sentence." and the "sentence2" field is "This is the second sentence.", the