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Showing 3 open source projects for "browser"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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ky
JavaScript HTTP client based on the browser Fetch API
Ky targets modern browsers and Deno. For older browsers, you will need to transpile and use a fetch polyfill and globalThis polyfill. For Node.js, check out Got. For isomorphic needs (like SSR), check out ky-universal. It's just a tiny file with no dependencies. Internally, the standard methods (GET, POST, PUT, PATCH, HEAD and DELETE) are uppercased in order to avoid server errors due to case sensitivity. Search parameters to include in the request URL. Setting this will override all... -
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Piping Server
Infinitely transfer between every device over pure HTTP with pipes
...The demo below transfers an infinite text stream with seq inf. You can transfer any kind of data infinitely on a stream. Streams are very efficient in terms of both time and space. All you need is to have either a Web browser or curl, which are widely pre-installed. You do not need to install any extra software. -
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Swagger-to-GraphQL
Swagger to GraphQL API adapter
Swagger-to-GraphQL converts your existing Swagger schema to an executable GraphQL schema where resolvers perform HTTP calls to certain real endpoints. It allows you to move your API to GraphQL with nearly zero effort and maintain both REST and GraphQL APIs. Our CLI tool also allows you get the GraphQL schema in Schema Definition Language. This library will fetch your swagger schema, convert it to a GraphQL schema and convert GraphQL parameters to REST parameters. From there you are control...
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