Vector Databases and Advanced Retrieval: Indexing, Architectures, and RAG Performance

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Introduction

In the modern landscape of AI, traditional keyword-based search often falls short. Users don't just search for exact terms; they express complex queries, seek conceptual matches, and expect intelligent responses. This shift from lexical to semantic understanding is powered by high-dimensional vector embeddings and specialized databases designed to handle them: **Vector Databases**. These databases are not merely storage solutions; they are

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