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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build 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.
A free, online learning platform to make quality education accessible
Oppia is an online learning tool that enables anyone to easily create and share interactive activities (called 'explorations'). These activities simulate a one-on-one conversation with a tutor, making it possible for students to learn by doing while getting feedback. Oppia identifies common wrong answers and provides tailored feedback, so that students get a personalized experience. Our lessons keep students engaged through playful characters and use different strategies to solidify their knowledge. ...
EYE [1] is a reasoning engine supporting the Semantic Web layers [2].
It performs controlled chaining and it supports Euler paths [3].
Via N3 [4] it is interoperable with Cwm [5].
[1] http://eulersharp.sourceforge.net/README
[2] http://www.w3.org/DesignIssues/diagrams/sweb-stack/2006a
[3] http://mathworld.wolfram.com/KoenigsbergBridgeProblem.html
[4] http://www.w3.org/TeamSubmission/n3/
[5] http://www.w3.org/2000/10/swap/doc/cwm
Das Krinein Projekt ist ein lockerer Zusammenschluss von Studenten und Interessenten des Themas dreidimensionale Grafiken in Echtzeitumgebungen. Wichtig ist uns dabei der direkte Kontakt der Teilnehmer, Teamwork und das lernen neuer Techniken.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.