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Umidjon Z

• Apr 14

Most RAG systems fail for one reason:

They treat all documents the same.

In one system I built:

* PDFs needed structure-aware chunking

* Excel needed metadata queries (not embeddings)

* PPT required OCR per slide

Once I fixed this → retrieval quality jumped massively.

RAG is not about embeddings.

It’s about understanding your data.

If the RAG system feels “broken”, this is probably why

ai rag llm

Toms Stals

pro

• Apr 13

I keep seeing AI founders spend months building… then launch, and nobody shows up.

Usually, the product isn’t the problem, people just don’t know it exists.

Start growing your audience before launch. 👉 Liftoff - AI Founder Webflow Landing Page Template

Webflow webflowtemplate ai

kolawole Mordecai

• Apr 13

This really stands out. The effort and thought behind it are obvious, and it shows in the final result. Keep pushing like this, you're building something remarkable.

Dalibor Pajic

pro

• Apr 13

Echo Mind Logo Concept

Creative Direction Graphic Design Adobe Suite Logo Design ai logo branding

md.sowrave hossen

• 2d

💯

Yamini Khullar

• Apr 12

Any project- be it a short film, an ad, a teaser, a fashion campaign, or a UGC video-starts with a character. A model. A face. But building that face? It used to take forever. Endless iterations… or tools like NanoBanana just replicating references- accurate, but not original. So I built a system on FLORA Input: – 3 image references (eyes, nose, lips) – A single prompt for structure, skin, and mood Output: – a fully cohesive, hyper-realistic face Now, instead of generating random identities, You design them- feature by feature. https://app.flora.ai/techniques/model-face-builder

#FLORAtechnique