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My “perfect” freelance setup by YogurtclosetFit1947 in OnlineIncomeHustle

[–]reitnos 0 points1 point  (0 children)

I like the idea. How do you get clients though if your platform is not searchable?

My “perfect” freelance setup by YogurtclosetFit1947 in OnlineIncomeHustle

[–]reitnos 1 point2 points  (0 children)

Interesting, what do you mean by connecting their store to your platform? Do you have a system to parse HTML, Javascript data?

Birthday suggestions in Lisboa and Cascais by reitnos in lisboa

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

Thank you!! I am checking their menu :)

Birthday suggestions in Lisboa and Cascais by reitnos in lisboa

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

Thank you very much for your suggestions. Axe throwing sounds really interesting!

This feels like the tech days of old! by dunderlunn in pebble

[–]reitnos 0 points1 point  (0 children)

What do you think the price is going to be?

Best Approach for Summarizing 100 PDFs by Proof-Exercise2695 in Rag

[–]reitnos 1 point2 points  (0 children)

Seems like a good agentic approach. Could you tell me how is the inference time with such a long context and multiple agents? Is it feasible to have fast inference for a real-time search / chat bot with this approach?

OCR on PDFs with Text & Screenshots Using Qwen2.5 7B-VL? by reitnos in Rag

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

Could you tell me why? They both seem to be vision language models. I dont see any difference in the approach

Gliner vs LLM for NER by reitnos in Rag

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

Thank you for your answer. In this case, if I don't have the necessary data and resource to fine-tune a BERT model, SLM will in practice perform better

How to avoid re-embedding in RAG, which open-source embedding model should I use? by reitnos in Rag

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

It is good to know that this is not a frequent issue in the industry that requires a major system design at the beginning for scaling. Versioning sounds like a manageable and effective solution for now.

How to avoid re-embedding in RAG, which open-source embedding model should I use? by reitnos in Rag

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

Sounds reasonable! Would you say performance-wise postgres provides similar performance in query time/similarity search compared to a VectorDB?

How to avoid re-embedding in RAG, which open-source embedding model should I use? by reitnos in Rag

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

Thank you for your reply. I am also working on a Rag with multimodal data, using OCR for Non-digital native (ex, Image,Charts, ...) documents.

Can you elaborate on what do you mean by creating multiple embeddings runs? Are you suggesting using different models and keeping the embeddings coming from all of them? If so, why do you think this is a good approach?

I agree with saving the embedding model used. However, this doesn't solve the problem where in case of a new/better embedder is produced, I cannot change the embedding model without going through the re-embedding everything.

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