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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.
...At present, it has realized the functions of Chinese word segmentation, Chinese name recognition, user-defined dictionary, keyword extraction, automatic summarization, and keyword tagging. It can be applied to natural language processing and other aspects, and is suitable for various projects that require high word segmentation effects.
AraWord is a pictogram-based word processor for disabled people.
AraWord is currently a part of ARASUITE!!!!
Pleas, look for ARASUITE in Sourceforge!!!!
https://sourceforge.net/projects/arasuite/
AraWord is a word processor that combines pictograms and text to help disabled people. More info: http://www.catedu.es/arasaac/index.php
This is a fork of an existing java text editor. I am just adding real time readability statistics. The original project was at https://sourceforge.net/projects/jtexteditor/
Java 2 Micro Edition Library for WordML elaboration: the projects aims to being able to transform properly XML documents (following WordML standard) into content that can be shown and used on cellular phones.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
...It communicates via XML-RPC with the server and handles "one click" links to internal pages. Perfect for content management web sites.<br>
It is based on <a href="/projects/ekit">Ekit</a> by H. Kistler