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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
AI signal summaries are available on Pro and above.
Launch angle analysis requires Pro or above.
Leverage Dify's modular architecture to offer a drag-and-drop interface for building AI workflows, similar to the low-code/no-code movement, to simplify the process for non-technical users.
Read the documentation on self-hosting and compare it with cloud-based offerings to understand the differences in deployment models and feature sets.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
AI signal summaries are available on Pro and above.
Launch angle analysis requires Pro or above.
Leverage the n8n platform's modular approach to workflow automation, integrating it with custom AI components like Ollama for LLM capabilities, and Qdrant for vector storage. This modular approach allows for easy customization and scalability.
Map out the integration points between n8n and AI components, specifically focusing on the Ollama LLM integration and Qdrant vector store usage in the starter kit.
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