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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.
Cathnet is developing the infrastructure for the Catholic Semantic Web. Technologies involved include, but are not limited to, XML, RDF, NLP, Zope, Plone and Plone products.
SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.
xml.dom.easydom for python primarily behaves like any xml.dom.* you already use. Additionaly easydom provides operator overloadings which render xml processing descriptions more readable and hence less error-prone. See about 90% of your xml-code boosted.