https://k4i.com/tags/similarity-search/ Recent content in Similarity Search on k4i.com Hugo en-us Fri, 27 Mar 2026 00:00:00 +0000 https://k4i.com/vector-database-guide/ Fri, 27 Mar 2026 00:00:00 +0000 https://k4i.com/vector-database-guide/ <h2 id="table-of-contents">Table of Contents</h2> <ol> <li><a href="#what-is-a-vector-database">What is a Vector Database?</a></li> <li><a href="#core-concepts">Core Concepts</a></li> <li><a href="#how-vector-search-works">How Vector Search Works</a></li> <li><a href="#choosing-a-vector-database">Choosing a Vector Database</a></li> <li><a href="#getting-started">Getting Started</a></li> <li><a href="#embedding-models">Embedding Models</a></li> <li><a href="#indexing--storage">Indexing &amp; Storage</a></li> <li><a href="#querying--filtering">Querying &amp; Filtering</a></li> <li><a href="#rag-retrieval-augmented-generation">RAG: Retrieval-Augmented Generation</a></li> <li><a href="#performance-tuning">Performance Tuning</a></li> <li><a href="#security-considerations">Security Considerations</a></li> <li><a href="#real-world-examples">Real-World Examples</a></li> </ol> <hr> <h2 id="what-is-a-vector-database">What is a Vector Database?</h2> <p>A <strong>vector database</strong> is a database optimized for storing and searching high-dimensional numerical vectors — called <strong>embeddings</strong> — that represent the semantic meaning of data (text, images, audio, etc.).</p>