19h • Wins 🌟
RAG AI Reimagined: Leveraging n8n’s Latest Database Feature🚀
I just built a new type of RAG (Retrieval-Augmented Generation) AI agent using n8n’s new Data Tables feature, and it’s been super fun to experiment with.
Basically, the agent can:
- Pull relevant info from structured tables inside n8n.
- Answer user questions accurately based on the stored knowledge.
- Log interactions for learning and future improvements.
This setup makes it feel like the AI has a “memory” tailored to the data you provide — all without leaving n8n!
Would love to hear what you think and any ideas for expanding it further. 🙌
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RAG AI Reimagined: Leveraging n8n’s Latest Database Feature🚀
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