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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.
Japanese dictionary & flashcards like software for jailbroken iphone/ipad/ipod touch. It should also works on standard hardware, as long as it sports Ruby and its SQLite3 bindings.
Ruby Research Wiki (RRiki) can be used to keep notes and organize references for research. It uses a browser interface, an intuitive plain text formatting language (markdown), and facilities to cross-reference and hierarchically organize notes
The Expertiza project is software to create reusable learning objects through peer review. It also supports team projects, and the submission of almost any document type, including URLs and wiki pages.
Acadevia Learn assists students in maximizing efficiency in their studies. Features the ability to create flash cards, track grades, calculate readings, schedule and be reminded of upcoming assignments and exams on a powerful calendar, and manage tasks.
Do you know framework X and want to try framework Y? The easy way to start with a new framework is to compare it with frameworks you already know. The goal of the project is to help developers easily learn new frameworks by examples.
Notejam is a unified sample web application (more than just "Hello World") implemented using different server-side frameworks. Currently python, php, ruby and javascript frameworks are supported.
Currently project is hosted on GitHub...