Problem Zeroth, Tech... • 11h
Most people think of RAG (Retrieval-Augmented Generation) as a text-only thing. But when we apply it to images, it unlocks serious potential — especially in safety, retail, and surveillance. I recently explored Vision-RAG using Weaviate + LangChain to enable text-to-image retrieval from large camera datasets. Here’s a simplified breakdown: 🧠 Query: “Show me all images with a broken bumper” 🔍 Weaviate retrieves semantically matched images (via CLIP embeddings) 🖼️ GenAI or Vision models add context, summaries, or auto-tags 💡 Outcome: Faster QA, visual analytics, or even chatbot interfaces for cameras It’s like giving memory and understanding to your visual data. Would love to hear how others are using RAG outside of just documents.
Buidling AlLiN|AI Re... • 28d
🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up
See MoreSoftware Engineer | ... • 7m
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
See More| Technologist | ML ... • 4m
In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from
See MoreHouse of jewellery b... • 4m
How to Create a Mood Board for Your Next Photoshoot? Creating a mood board is a great way to plan and get inspired for your photoshoot. It helps you organize your ideas like colors, styles, and the mood you want to create. Here’s how to make one: 1.
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