RAG Explained 🔍 | Make AI Smarter, Faster & Accurate!

Learn how Retrieval Augmented Generation (RAG) enhances large language models by integrating real-time knowledge retrieval. Understand the architecture, embeddings, vector similarity search, and prompt construction that make responses grounded and accurate. Explore tools like PGVector, Amazon Bedrock, and Claude for building scalable RAG systems. Gain insights into best practices for security, monitoring, and production deployment.
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