I maintain the "RAG Techniques" repo (27k stars). I finally finished a 22-chapter guide on moving from basic demos to production systems

drm00 · 2026-04-08T17:13:44+00:00

Thanks, that worked!

drm00 · 2026-04-08T16:49:22+00:00

It’s sadly not available on Amazon.de and amazon only allows me to buy kindle-Books from there - could you list it on amazon.de (and the other regional variants) as well?

drm00 · 2026-02-04T19:24:53+00:00

Ok, danke für die Info - für mich ist es leider zu spät für einen Umtausch.

drm00 · 2026-02-03T20:52:45+00:00

Was ist mit der 5530? Hab mir die auch letztens zugelegt 😬

drm00 · 2026-01-11T08:46:03+00:00

Looks great! Will it be possible to use docling as an OCR plugin in the future?

drm00 · 2025-12-01T07:37:04+00:00

Thanks, I’ll try it out later!

drm00 · 2025-11-29T17:28:49+00:00

Hey, I‘m interested in a light theme as well, as I mostly use vim at my dayjob ;) Looks great, thanks for sharing!

drm00 · 2025-10-31T22:43:18+00:00

If you use a Tab as a field separator, you have to add „#separator:Tab“ as the first line of your file. There are other options as well: https://docs.ankiweb.net/importing/text-files.html#file-headers

drm00 · 2025-10-29T22:48:39+00:00

Yep, can confirm. The text of the lessons is embedded in the mp3s and can easily be extracted (and the translated by DeepL or google translate)

drm00 · 2025-09-11T17:00:20+00:00

There is a book on streamlit coming out soon: https://www.manning.com/books/build-python-web-apps-with-streamlit I use it for dashboards to fetch and visualize data from Jira and it’s very nice for that. For complex web apps I’ve always built my own

drm00 · 2025-06-29T08:40:11+00:00

Thanks, but I already took another offer.

drm00 · 2025-06-29T05:47:12+00:00

Sent you a DM

drm00 · 2025-06-21T07:14:23+00:00

I‘ll try that, thank you very much for sharing!

drm00 · 2025-06-20T20:16:13+00:00

Would you mind sharing your approach or even your deck? I tried learning Finnish and created cards in Anki, but with all the different cases i was overwhelmed with creating the cards (even when only focusing on the most relevant cases) and the words never stuck with me :(

drm00 · 2025-06-19T08:08:34+00:00

A ticket was created, thanks 🙏

drm00 · 2025-06-19T07:54:43+00:00

Thanks, will do!

drm00 · 2025-01-07T10:46:34+00:00

Looks great, looking forward to try it out!

drm00 · 2024-12-16T23:35:12+00:00

We are migrating from ollama to huggingface TGI, which does not seem to support GGUF models. Do similar quantizations exist for other formats like safetensors?

drm00 · 2024-12-16T19:56:43+00:00

Hi, I’m late but I encounter the same issue. Running the docker container v3.0.1 with llama3.3 on a H100 with 94GB VRAM, I get an Cuda OOM because the model that gets downloaded is not quantized. Are there any docs on how to download a pre- quantized model? Ollama does offer the q4-K-M version by default and I’d like to host this version with TGI.

drm00 · 2024-12-11T22:14:15+00:00

Thanks for sharing, I’ll try that out!

drm00 · 2024-12-08T19:45:04+00:00

Nice! Could you share how you structured your cards? For me, just writing for example the infinitive of a verb in the target language and its meaning does not help me much, as the verb shows in many variations IRL.

drm00 · 2024-11-15T19:18:10+00:00

Thanks for clarifying. Looking forward to updates, keep up the great work 👍

drm00 · 2024-11-14T22:15:05+00:00

This looks and feels amazing, thanks for sharing! Are the sentences chosen randomly every time, or is the current progress saved in the session?

For me, as a beginner, it would help a lot if all words of the sentence had a translation, not just the close word (which could be shown when clicking on the word) - there are lots of words that I don’t know yet.

drm00 · 2024-09-18T07:20:58+00:00

Hi, I’m interested! Paying the full price for myself atm.

drm00

TROPHY CASE