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Exploring Semantic Search Engines: A Deep Dive into Implementation and Performance

In the rapidly evolving landscape of search technology, semantic search engines have gained significant attention for their ability to understand and retrieve information based on context rather than simple keyword matches. In this article, we chronicle a detailed exploration of setting up and testing various semantic search tools, focusing primarily on an open-source solution called Quadrant (or Cudrin) that runs on Docker, alongside other notable contenders like V8 vector search, Pinecone, and Milvus.

Overview of Major Semantic Search Engines

The session begins with a quick overview of some prominent semantic search engines: