From Keywords to Meaning: How Embeddings Power Semantic Search in AI

Semantic search, powered by embeddings that convert language into numerical representations, is becoming essential for AI applications to understand user intent beyond keywords. This is crucial for anyone building search functionalities, particularly in RAG systems, to improve relevance and user experience. The shift towards natural language interaction means that systems relying solely on keyword matching will struggle to provide accurate results, making embeddings a foundational technology to watch.

Read the full article at Towards AI - Medium

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