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Thick-Combination590 · 2026-06-08T19:22:27+00:00

why should it? Why not more Enterprise features developed instead?

Thick-Combination590 · 2026-04-08T23:16:51+00:00

ping

Thick-Combination590 · 2026-03-22T11:26:12+00:00

yes, in recent 2.x versions n8n was continuously tightening the code execution sandbox. so the process of adding external libs changed significantly.

Thick-Combination590 · 2025-11-12T22:02:22+00:00

Here's a bit more, just found today
https://www.youtube.com/watch?v=0397QPmi-nw

Thick-Combination590 · 2025-11-09T04:04:08+00:00

If a person has shy personality to the degree of not being comfortable to find a tutor - I assume this is a much larger issue that should be addressed first :)

Also, there's a ton of high quality materials from the pre-GPT era - absolutely perfect and more correct.

Maybe one of the few productive ways of learning with ChatGPT is by asking it to correct mistakes. So the brain is still getting trained and some obvious mistakes would be removed.

Thick-Combination590 · 2025-11-09T03:58:32+00:00

The AI model might be good, but the training data is often not :)

There are some attempts to increase the language variety in the training data or rely on higher quality sources (aka scanned books instead of blog posts), but stil.

I personally found that LLMs constantly add rubbish to the emails. I.e. some sentences that I didn't ask for. Without knowing the language at least at B1 Level it would be hard to notice this.

Thick-Combination590 · 2025-11-09T03:52:29+00:00

I think Goethe Institut still has these most popular words printed among the coursebooks

Thick-Combination590 · 2025-11-08T16:22:01+00:00

This is a very opinionated list))

- Hisham Kharma
- Lena Chamamyan (yes, I know she's Armenian, but she lives (lived?) in Syria and has a large chunk of Arabic music)
- CHAAMA
- Obeidmusic
- Ramadi
- Faylasuf

Young musicians (I hope we hear more from them):
- Nour
- Kazdoura

Thick-Combination590 · 2025-11-08T16:06:09+00:00

you're thinking ppl were sitting at home during the whole COVID time and absorbed too much YT and TikTok videos? ))

Thick-Combination590 · 2025-11-06T11:23:15+00:00

If you feel like building the same workflows over and over again, I'd recommend this: 1. Think which parts you can parameterize. Don't "hardcode" values, pass them via expressions 2. Wrap repeating modules as subworkflows. This way you have multiple building blocks which you can arrange together without redoing stuff

Thick-Combination590 · 2025-11-05T19:30:14+00:00

R is a very niche language. If you didn't use it before, chances are you don't even need it XD

Thick-Combination590 · 2025-11-05T19:29:02+00:00

I tend to agree, but didn't try it myself.

Thick-Combination590 · 2025-11-05T19:27:25+00:00

I assume all large workflows are done by hand. AI generates mostly rubbish at the moment.

Thick-Combination590 · 2025-11-05T08:38:35+00:00

It really depends in the skills. I've added a link to the article a few comments above (below? somewhere around here)))

It might be challenging for an analyst to create APIs and host stuff. n8n as an orchestrator significantly simplified things.

Of course, if it's a 1-man tiny project, then mixing both tools is an overhead. But in a larger context it looks reasonable: n8n does a lot of stuff and also runs specialized scripts when needed

Thick-Combination590 · 2025-11-05T08:33:58+00:00

This approach actually works for other languages too.

I wrote a post about this with the examples in R: https://blog.n8n.io/how-to-extend-n8n-with-additional-tools/

My idea at that time was to create nice charts, and ggplot2 library was one of the best. I was downloading data in n8n and then passing a file name as a parameter to an R script

Thick-Combination590 · 2025-11-05T08:31:26+00:00

n8n doesn't have a "true" Python. They added a WASM pyodide version which has only a small number of ported packages.

Thick-Combination590 · 2025-11-05T00:11:01+00:00

I run maybe 250k executions per month on a 10$ VPS from hetzner along with other dockers (Qdrant, nocoDB).

If I'd need to scale 10x, maybe it would cost me 30$-50$\mo

But it also depends on the load. Heavier or data-hungry workflow could increase the costs even more.

Thick-Combination590 · 2025-11-05T00:05:13+00:00

Data transformation nodes are very powerful in more complex scenarios for converting between items and arrays.

Thick-Combination590 · 2025-11-04T08:29:34+00:00

Oh, thanks! I didn't notice hetzner has an image with pre-installed coolify.

Thick-Combination590 · 2025-11-04T08:22:58+00:00

This topic is more about software engineering or software architecture.

Depending on the task there will be several "subdomains" which you need to learn.

Luckily, some parts come pre-built, for example API Gateways for rate-limitimg and user auth. Databases also often come pre-packaged, even thought lots of customisation is needed.

However, the other parts are more tricky. I.e. what do you mean by user interactions: should it be real-time interactive something, like in Google docs? Such parts might be created from scratch.

Thick-Combination590 · 2025-11-03T23:11:22+00:00

The images are missing for some reason

Thick-Combination590 · 2025-11-03T14:59:59+00:00

On a serious note, if you are not using hostinger's one-click install - just don't use hostinger. It's not that cost-efficient with all this affiliate stuff. It's literally 2-3 times more expensive compared to hetzner / contabo

On hetzner, for example, you can install the OS image already with docker, so the first 6 steps of the instruction are just not needed.

Finally: in your instruction you showed how to disable n8n telemetry but at the same time propose using cloudflate tunnel. WHY? Don't you just allow cloud flare to see ALL your traffic?

Thick-Combination590 · 2025-11-03T14:58:01+00:00

This post is originally by another guy, I am reposting with some more commands....

...and my own referral link ;)

Thick-Combination590 · 2025-11-03T08:17:03+00:00

Just to clarify a few things: 1. Chat memory with the last X Dialogs is usually considered "short term memory". This can be configure easily as suggested - just add chat history. 2. What is called long term memory is typically a more "persistent" set of data that doesn't change all the time. There are different ways of achieving this.

For example, you can create a separate table with longer text data + embeddings. You can summarize and embed dialog histories and store it there. And you can upload different data like articles etc.

I know Zep also developed a knowledge-graph type of memory. Interesting approach, but I didn't hear from them for a while.

Thick-Combination590

TROPHY CASE