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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
ELENA is a general-purpose, pure object-oriented language with late binding. It promotes more object-oriented program design, reusable and more standardized code. The package includes compiler, IDE, ELENA libraries and samples
The world's first evidence-oriented programming language
Quorum is a programming language designed in empirical studies with humans to be intuitive and easy to use. It is a Java Virtual Machine language with full Integrated Development and Debugger support built into the Sodbeans project. Version 4.0 includes support for graphics, 3D sound support, and Lego robotics.
The MCAPL Project provides a tool for prototyping BDI agent programming languages and model checking programs written in these languages via an interface to the JavaPathfinder model checker.
ASTRA is an implementation of AgentSpeak(TR) that has built in support for the CArTaGo and EIS environment models. Support for conversation management is provided in the form of the ACRE conversation manager.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery 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.