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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.
Java provides the concurrent library that simplifies concurrent programming, but this is hard to learn and visualize. This project is a series of animations each illustrating the coding and usage of a component in the java concurrent library.
The J-WASTE project aims at the implementation of a platform independent client/server Java implementation of the WASTE protocol. This project started as a mandatory project course in networking at the Luleĺ University of Technology in Sweden.