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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.
An implementation of the Model-View-Controller (MVC) design pattern based on the Jakarta Struts Framework. Includes a core library (Horizon), a servlet container (Stratus), and a Server Pages Engine (Phase). Resembles the J2EE web container environment.
PTLog focuses on pluggability of underlying logging frameworks, type-based categorization and some formatting utility on Logging.
PTLog does not compete against any other logging frameworks, but can co-operate with them as abstraction layer on them.
A tool to monitor and analyse data transmitted between clients
and a server through a TCP connection. This tool focuses on the data stream
(software layer), not on the lower level transmission protocol as
packet sniffers do.
Platform based on JMS queues to centralize System Event Messages (syslog) and Application Layer Messages, persisting them in several Databases and providing several pre- and post- processes according the message's nature, like encryption, mail.
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.