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.
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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
CEManTIKA (Contextual Elements Modeling and Management through Incremental Knowledge Acquisition) is a framework to support context modeling and Context-Sensitive System design, in a generic, domain-independent way.
Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.
Power faster innovation with Teradata VantageCloud
VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
Tudu Lists is a J2EE application for managing todo lists. It's based on Spring 2.5, JPA/Hibernate and AJAX (using the DWR framework). It's a simple yet effective project management tool, and it is also often used as a sample Spring application.
Enable the use of J2EE 5 annotations to configure spring framework beans.
Keep all the behavior of a bean within itself, and free the developer from having to look in 3 or 4 diferent files to know what a class really does.
A small library that provides a powerful and container-less Dependency-Injection mechanism, via AspectJ and Groovy. If you are tired of reams of XML configuration files, managing complex factories and containers, this non-API solution may appeal to you.
AspectJ Exception FrameWork (AJEFW) provides a central point and code reuse on the treatment of different kinds of exceptions presents in an application, everything specified in a xml configuration file. Framework para tratamento de exceções em AspectJ