Problem Zeroth, Tech... • 5m
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 FedUp| AI R... • 6m
🚨 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 | ... • 1y
💡 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 ... • 10m
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 MoreGenai intern • 2m
Over the last few weeks, I had the opportunity to intern at Value Health, where I dived deep into the world of Generative AI and semantic understanding for healthcare. From exploring contextual embeddings and knowledge graphs to optimizing retrieval
See More
Hey I am on Medial • 12d
Excited to share my latest project! I am working on a project titled "Intelligent Vision-Driven Document Assistant with Agentic RAG." The goal is to transform static, unstructured PDFs (like financial reports) into interactive knowledge assets. In
See MoreDownload the medial app to read full posts, comements and news.