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Showing 2 open source projects for "robust"
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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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Fully managed relational database service for MySQL, PostgreSQL, and SQL ServerCloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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OpenCarenet CHE
Enabling community health workers to collect health data efficiently
OpenCarenet CHE is a robust and user-friendly application tailored for community health workers, facilitating seamless data collection, management, and reporting. With its mobile data collection capabilities, offline functionality, and interoperability with DHIS2, the app empowers health professionals to efficiently track patient information, aggregate primary data, and generate detailed health reports, even in areas with limited internet access. -
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...Cloud computing brings unprecedented sophistication to mobile applications and cloud4apps makes it possible for developers. cloud4apps services are accessed by native or web apps via REST-based APIs with data formatted as JSON or JSONP; this makes our services and data transmission very fast, lightweight and easy to be consumed from any app or web domain and by a mulitude of programming languages and platforms. cloud4apps services incorporate robust device security, data security, authentication, authorization, and transmission security to protect sensitive data in mobile applications.
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