Vector Databases

    Vector databases store and retrieve information using mathematical representations, enabling semantic search and AI-powered knowledge systems.

    Overview

    Vector databases are specialised databases designed for similarity search across high-dimensional data. They are a critical component of RAG architectures, enabling AI systems to find semantically relevant information from large knowledge bases.

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