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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.
...DataWoo is meant to be a research and development platform that can be extended into just about any enterprise-level web application. The architecture will be developed in three phases:
1. Basic Spring Architecture: Provides all the basic components needed to field an enterprise-level application.
2. Programmatic Security Model: Incorporates the components needed to dynamically assign users to user roles and user roles to profiles.
3. Meta-Driven Architecture: Use meta-data to dynamically configure 80%-90% of the application using the concepts exemplified in the Compiere open source project.
BugHunt Project's aim is to be a simple yet useful and easily extensible bug tracking system. Its architecture will provide a basic set of functionalities along with a concise framework for extending its capabilities.