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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.
Universal sw mgmt tool optimized for best resource usage.
In SW mgmt, sw is organized in packages with dependencies. Process consists of more tasks, using different resources: net, CPU
UniPkg runs tasks in parallel with optimal usage of resources.
DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
Engrane3D is a fully working LiveCD OS powered by Slackware/Slax with a personalized set of tools to set, configure clusters, tools for hosting serving, a built-in parallel 3D renderer and a nice set of compilers and libs (SDL,MPI, Mesa).
Lucie enables parallel network installation of large numbers of nodes from one single administration server. It is designed to be scalable and efficient, so a complete Linux cluster can be built from scratch in a short amount of time.
Generative Al is shaping brand discovery. AthenaHQ ensures your brand leads the conversation.
AthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.