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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.
Magda is a programming language introduced in Jarek Kusmierek's PhD (http://www.mimuw.edu.pl/~jdk/mixiny.pdf) and continued in Mauro Mulatero's thesis (http://www.tesionline.it/default/tesi.asp?idt=45612).
Magda's goal is to allow a programmer to write well-modularized, reusable code.
Magda is based upon the core notion of mixin as the only unit of reuse. The power of modularization of mixins is enhanced by two unique features.
This project is no longer maintained! DynamicAspects enables you to do aspect-oriented programming in pure Java. Using the "instrumentation" and "agent" features introduced with Sun JDK 1.5, aspects can be installed and deinstalled during runtime!
"Active Collections" is an API written by extending existing collection framework provided in JDK. This API will facilitate the consumer of a collection to handle events whenever the collection is modified.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.