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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.
High performance workflow with strong support for parallel tasks
The Workflow Execution Engine (WEE) is a domain specific language created by the University of Vienna in Austria. The primary goals of the language are to provide a simple, lightweight, and powerful alternative to existing workflow specifications.
This project contains an implementation of this language using the Erlang programming language.
Please see the project Wiki for more detailed information.