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RAG-powered AI knowledge assistant that retrieves information from private documents and generates accurate, context-aware answers with source citations. Built for secure enterprise knowledge search and AI-assisted workflows
@mahmoud wael Source citations make the RAG answers easier to verify, especially across private documents. How are you handling permissions and retrieval filtering in PostgreSQL?
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Fantastic color choice and application. well execution.
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It shows that you don’t care enough for your users.
Introducing Assistia, a template for AI customer service automation platforms.
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Check the comments for the links.
I designed a workspace for an AI image collection app. Users can enter a prompt and use controls to see matching images.
It's aimed at designers, marketers, and content creators who know the type of visuals they want but need to refine their search without restarting.
The screen design is shaped by four key choices. The prompt is at the top of a left panel, with controls for refinement below. Users can adjust style, mood, or composition without losing their prompt. Mood is adjusted using percentage sliders instead of yes/no options, allowing for more precise control. Results are displayed in a grid with mixed heights, showing portrait, landscape, and square images fully cropped. Save, link, and edit options appear when hovering over an image, keeping controls unobtrusive.
Sections are clearly labeled — Style, Mood, Composition, Color, Watermark — with a prominent Explore button and a simple Reset option, making the main actions clear.
Designed in Figma. Suitable for AI product and SaaS web app design.
Nice
