<ul><li>Retrieval-Augmented Generation (RAG) combines retrieval-based search with generative models for AI applications.</li><li>Couchbase offers speed, scalability, and flexibility with features like Memory-First Architecture and Built-in Full-Text Search.</li><li>Gemma 3, an open-source generative AI model, is optimized for efficiency and local machine deployment in RAG applications.</li><li>The tech stack includes Couchbase for vector database, Gemma 3 for generative responses, and FAISS for vector similarity search.</li></ul>

Next-Gen RAG with Couchbase and Gemma 3: Building a Scalable AI-Powered Knowledge System

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