All About RAG Pipeline - Retrieval Augmented Generation | LLMs, Vector Embedding, Vector Database скачать в хорошем качестве

All About RAG Pipeline - Retrieval Augmented Generation | LLMs, Vector Embedding, Vector Database

RAG (Retrieval-Augmented Generation) Explained | LLMs, Vector Embedding, Vector Database - Milvus & More In this deep dive, we explore Retrieval-Augmented Generation (RAG)—a powerful approach that enhances Large Language Models (LLMs) with external knowledge retrieval. What You’ll Learn in This Video: 1. How LLMs process and generate responses 2. Why do we need RAG? 3. The role of Vector Embeddings and Vector Databases 4. Understanding text-embedding-small3 for efficient text representation 5. Introduction to Milvus, a high-performance vector database 6. The complete RAG pipeline explained step by step Whether you're a college student, developer, AI enthusiast, or researcher, this video will give you a solid foundation on RAG and its components. Don't forget to Like, Share & Subscribe for more AI and ML content! Resources & Links: Website: https://geekashram.in Related Articles : https://geekashram.in/articles/introd... https://geekashram.in/articles/introd... Have questions? Drop them in the comments! #RAG #LLM #AI #MachineLearning #VectorEmbeddings #Milvus #NLP #RetrievalAugmentedGeneration #geekashram #generativeai #aitutorial #aitutorialforbeginners #aiinhindi #ankitsirgeekashram