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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.
Aguacate is a framework with focus on implement business logic functionality, using configuration files (json) instead of programming.
See the wiki and the videos
See https://github.com/mcnew/aguacate-swagger-demo for a functional demo using docker-compose
Videos in Spanish: https://www.youtube.com/playlist?list=PLSHQIkodyHroW2XF7BWCrymDv_Nlj7HRS
java project for modifying jBPM models into cloud aware models
Program based on created BPMN 2.0 Cloud extension.
It reads a model *.bpmn, which was created using jBPM BPMN 2.0 modeling tool. Then user is able to define a sensitivity of data elements. After that an Ontology is created and filled in with model elements. Special logical rules process the data. User is able to additionally define the security level. The resulting model is created and can be opened in the jBPM.
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