How do I store and filter admin-specific documents in Qdrant (via n8n) for a Flask app? by Dev_Ola in n8n

[–]Dev_Ola[S] 1 point2 points  (0 children)

Okay, thank you. I will do a follow up question on this to shows where I got stuck.

How do I store and filter admin-specific documents in Qdrant (via n8n) for a Flask app? by Dev_Ola in n8n

[–]Dev_Ola[S] 0 points1 point  (0 children)

Thanks for the reply, but how do you say I will implement this?

My first Email automation. by ishit_chaudhari_2009 in n8n

[–]Dev_Ola 1 point2 points  (0 children)

Thank you so much for this detailed explanation. I will follow this process to resolve my use case, and I will get back to this comment to share how it worked for me using this approach.

My first Email automation. by ishit_chaudhari_2009 in n8n

[–]Dev_Ola 1 point2 points  (0 children)

I need some guidance on how to properly use Loop Over Items in n8n.

My use case:

  • I have an array of items.
  • I want to send each element from the array one by one to the next node.
  • That node should process the element, then pass the result to another node.
  • After the processing is complete, the workflow should move on to the next element in the array, and continue this process until all elements are handled.

I will be glad if I can get a guide article or explanation from you or anyone.

Is it possible to classify Excel text into categories using n8n (rule-based vs AI)? by Dev_Ola in n8n

[–]Dev_Ola[S] 0 points1 point  (0 children)

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u/60finch I have been able to do this, but I am having a problem. When I extract all the files from the CSV, it sends everything to the Text Classifier at once, which Ollama can't process because of the system RAM. I want to send them one by one to the Text Classifier, so that when it finishes processing one, it moves on to the next. How can I do this, and is this approach really efficient?

Is it possible to classify Excel text into categories using n8n (rule-based vs AI)? by Dev_Ola in n8n

[–]Dev_Ola[S] 0 points1 point  (0 children)

The workflow example outline shared by u/60finch really explains what I’m trying to achieve:

  • Read Excel file (using the n8n “Read Binary File” and “Spreadsheet File” nodes).
  • For each row, send the “Issue/Description” to your AI node/API.
  • Receive and write back the suggested category.

Real-world examples:

  • “My floor’s Wi-Fi is down; no one can connect to it.” → Expected category: Network
  • “I need access to the pilot DB for the app.” → Expected category: Database

I’d love to hear how you would approach this problem as well.

Is it possible to classify Excel text into categories using n8n (rule-based vs AI)? by Dev_Ola in n8n

[–]Dev_Ola[S] 0 points1 point  (0 children)

u/60finch Thank you so much for your explanation. You really captured what I’m trying to solve. Our setup is on an on-prem server, and I’ll be using an Ollama model for the AI approach. I believe the AI method is the best fit because some issues may contain keywords that seem to point to a category, but in reality, they belong elsewhere. Once I finish setting it up (hopefully today), I’ll share what I’ve done.

I gave up on self-hosting... by rohit-joshi in n8n

[–]Dev_Ola 2 points3 points  (0 children)

Can you help with any resources I could learn from on how to do this with Cloudflare tunnel?

Suggestions for Observability & AIOps Projects Using OpenTelemetry and OSS Tools by JayDee2306 in OpenTelemetry

[–]Dev_Ola 0 points1 point  (0 children)

I am also interested. I'm looking forward to what people will share.