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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 ARM support for standards, Maven, & archetypes
The project creates a standard for Java implementations of ARM applications. It uses an asynchronous event model with threading that is standard for any board the runs Java on an ARM processor.
The set of interfaces, abstract classes, events and enums create a standard that help enforce the write once, run anywhere credo.
This will make code more portable and readable.
Main Area: https://sourceforge.net/p/armature/discussion/
Service Invocation in SOA environment: This framework will take care of security, caching, event generation, service invocation( synchronous, asynchronous), end-to-end SLA capturing, non-intrusive logging, etc