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Which is the fastest vector db for production in terms of vector similarity search and retrieval?

🚨 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

LLM Capabilities, t2i generation via inference and resonance inside vector DB of the model is what makes images as this possible. Via : Midjourney

I'm working towards building India's first Vector DB and Memory Management System. I'm not yet funded by any VC - bootstrapping everything with a very small team. I need the support of the community to take India's deep-tech products to the Global s

All are concerned about product development, but none about product sales. In Western Market the founders works on pre sales just by creating a video render of the product and test the product-market-fit. Anyone who knows about pre sales text me.

💡 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

other startups face problems like not getting vc not getting funding pre seed and I'm facing problems like not getting full stack developer who can do react frontend backend database server all these things if I find frontend developer then didn't ge

🚀 Excited to share my latest YouTube video! demonstrate how to integrate Microsoft's Semantic Kernel with Qdrant, the open-source vector database, to build an intelligent question-answering system for Wikipedia pages citeturn0search3 In this tu

Text Generation What It Is: Text generation involves using AI models to create humanlike text based on input prompts. How It Works: Models like GPT-3 use Transformer architectures. They’re pre-trained on vast text datasets to learn grammar, conte