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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.
Adaboost extensions for cost-sentive classification
...They are the meta algorithms which requires base algorithms e.g. Decision Tree
Moreover,
Voting criteria is also required e.g. Minimum expected cost criteria
Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference)
This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix
OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
A set of Mono.Cairo custom widgets for human device interface such as LCD dot matrix displays, LED bars, 7 segment displays, sensor meters, knobs, push buttons, etc.
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.