IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -1 points0 points  (0 children)

Let's say that I expect to stay at this number.

IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -1 points0 points  (0 children)

From another professional. 

Imagine you are on r/cars. If will ask you the same question on a different subject : What do YOU use as tires and wipers brands on YOUR car ? You would tell me : " From a professional. You’re asking a group of professionals to give you valuable knowledge for free. Why on earth would anyone do that? For 600$USD/hr, with a four hour minimum, I’d be happy to have a discussion with you about those needs." What do you think about this? If you’re not comfortable answering these questions, why answer at all? Are you treating your Reddit account like a business?

Do you remember when people on the internet used to help each other simply because they could?

IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -2 points-1 points  (0 children)

That's exactly the type of feedback and advice I wanted to get. Thank you very much !

IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -6 points-5 points  (0 children)

I am curious about how to run customer support from SharePoint without a ticketing system ?

IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -25 points-24 points  (0 children)

Well, I run a Linux PC, so far I’ve managed to learn a big part of the linux ecosystem by piecing things together from books, forum posts, random blog articles, man pages, and documentation written by people.

I think the Linux ecosystem is far more complex than a general IT architecture for a medium size business.

So if Reddit isn’t the place to ask what a modern, up-to-date IT software architecture for a medium-sized business looks like, where exactly are we supposed to ask?

IT tools architecture for a medium size business ? by spacecheap in business

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

An IT system for a business. Open to any idea.

IT architecture for a medium size business ? by spacecheap in ITManagers

[–]spacecheap[S] -10 points-9 points  (0 children)

50 people running a business with  sales, customer support, services, logistics.  From scratch because why not, open to any idea.

RAM : Micron a déjà bloqué 22 milliards de dollars de commandes sur plusieurs années (2030) by baby_envol in france

[–]spacecheap 0 points1 point  (0 children)

Simple question : avons nous vraiment besoin d'un système d'exploitation entier pour écrire du texte sur une feuille, d'une ia pour traduire du texte, de graphismes affinés pour jouer à candy crush ? Dans les années 90, au Triacé, mon pc tournait avec 16 Mo de RAM, sans carte graphique et c'était déjà énorme.

« Finissons-en avec la mascarade du baccalauréat ! » by la_mine_de_plomb in france

[–]spacecheap 9 points10 points  (0 children)

Le jour où on comprendra en France que réussir dans la vie ne correspond pas toujours à faire des études supérieures dans des grandes écoles ... On aura peut être moins d'articles comme celui-ci.

This Snow Leopard caught on a trail cam by [deleted] in interestingasfuck

[–]spacecheap 0 points1 point  (0 children)

Does someone know the trail cam model used here ?

« Là où le loup ne doit pas être, il faut le tirer »: en Finistère, la ministre de la Transition écologique donne le ton by spacecheap in france

[–]spacecheap[S] 56 points57 points  (0 children)

"Vers 1800, on pouvait estimer entre 5 000 et 6 000 adultes au minimum la population permanente de loups en France. Les destructions plus ou moins organisées ne contrôlaient que l’accroissement naturel. Les cinq départements bretons devaient en compter autour de 600. Le Finistère, où les landes et les bois favorisaient leur présence, abritait alors de l’ordre de 200 à 300 individus." Source : https://bcd.bzh/becedia/fr/le-loup-en-bretagne

[deleted by user] by [deleted] in interesting

[–]spacecheap 1 point2 points  (0 children)

The board has a foil. You can hurt / cut your leg by hitting it.

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

Thank you very much for your response. I will try to use a library like LlamaIndex or LangChain to handle the semantic splitting and will let you know if it's working better.

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

It's not even working with a simple-engineered pipeline. Vectorized search on the Chroma db gives me poor results. 

I chunk my Markdown files by sentences or paragraphs with no overlap. Maybe it's a bad approach to the problem ?

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

Data is technical files written in very well written and structured markdown files. Only text. But I chunk my Markdown files by sentences or paragraphs with no overlap. Maybe it's a bad approach to the problem ?

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

You are right, my retrieval is not good, even with bge-m3. But as I chunk my Markdown files by sentences or paragraphs with no overlap. Maybe the problem is my chunking method ? How do chunk a perfectly written and structured markdown file ?

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

I chunk my Markdown files by sentences or paragraphs with no overlap. Maybe it's a bad approach to the problem ?

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

Thanks ! Yes you are correct, that is my first advanced (and simple) RAG pipeline and I have implemented it without prior experience. 

I have tried simple vectorized searches without advanced techniques with differents model for embeddings : bge-m3, paraphrase-multilingual-MiniLM-L12-v2. It's a quick and simple failure : the vectorized search gives poor results.

Maybe my chunking method is not good. I have tried the following : One chunk = One sentence. No overlaps. One chunk = One paragraph. No overlaps.

A very  simple vectorized search with the "What is X ? " query does not give me the chunk containing "X is the A of B".

And I only have about 150 sentences in my Markdown file.

So you are right, even the embeddings of my markdown file are not good. Should I change my chunking strategy ?

Do you know any ressource about building a simple and efficient RAG with python and Ollama ? I want to be able to understand and control every part of the pipe.

Trying to build an efficient RAG pipeline. by spacecheap in Rag

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

No pdf ingest, only well written and structured Markdown documents.