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Best Rag Automation Supabase Mod
I wrote this question in the Youtube Resources. But it may be beneficial to others out here in the general discussion. I do not use Supabase. I have qdrant, postgres, nocodb. I replaced most of the nodes with qdrant without any issues. However, I am having a problem with the update flow and replacing the Supabase Delete Rows node. N8N does not have a native qdrant node for this action. Any ideas on a pre-built solution? Or am I looking at a custom action? Very nice work @Nate Herk You are doing an excellent job. Your videos have been very helpful to many people.
🚀New Video: The Best RAG System On YouTube
Learn how to create a powerful Retrieval-Augmented Generation (RAG) system using n8n, Supabase, and Postgres. This system automatically uploads documents to your vector database based on file type and seamlessly updates your records whenever changes are made to your files. Perfect for streamlining data management and enhancing your AI knowledge base.
2 likes • Dec '24
Question: I do not use Supabase. I have qdrant, postgres, nocodb. I replaced most of the nodes with qdrant without any issues. However, I am having a problem with the update flow and replacing the Supabase Delete Rows node. N8N does not have a native qdrant node for this action. Any ideas on a pre-built solution? Or am I looking at a custom action? Very nice work @Nate Herk. You are doing an excellent job. Your videos have been very helpful to many people.
$fromAI Limitations with 'Call n8n Workflow' and 'HTTP Request' Tools
According to the documentation, it appears that $fromAI does not function with the "Call n8n Workflow" or "HTTP Request" tools, which is quite disappointing. Has anyone found a reliable workaround for this issue? I'd appreciate any suggestions!
$fromAI Limitations with 'Call n8n Workflow' and 'HTTP Request' Tools
1 like • Dec '24
Maybe I'm not understanding the situation completely, but can't you pass the information that the agent collects through a parser to structure the output in order to pass that info on to the next workflow? Between prompting and the parser, you should get a more reliable output. I've found that in some of my workflows that if I give the parser the structure, and I give the agent the same structure in the prompt, I get more reliable outputs containing all the required information.
0 likes • Dec '24
@Leo Lion there are Ollama nodes that would allow you to handle local models. There are also nodes for for providers that offer free LLM access like Groq.
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@kevin-hamblin-1905
New to Skool. New to Automation.

Active 299d ago
Joined Dec 8, 2024
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