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

🚀 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

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

Working on a cool AI project, that involves vector db and LLM fine-tuning

🚀 New Video Alert! 🎉 We've just released a tutorial on building a Retrieval-Augmented Generation (RAG) application using Ollama and Microsoft's Phi-3 model. Key Points: Ollama:A platform that enables running large language models locally, enhanc

Apple just made some serious waves in the world of AI, and you won't believe what it means for your iPhone, iPad, and Mac! They've released a treasure trove of 20 new Core ML models on Hugging Face, a platform that's like the Wild West of cool AI to

Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det

How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time ins

Top 10 Free AI Playgrounds For You to Try Curious about the future of AI? AI playgrounds are interactive platforms where you can experiment with AI models to create text, code, art, and more. They provide hands-on experience with pre-trained models

What’s new Ai vector on based we can get Job in next 10 years ? Please reply as per experience and knowledge .