Explore the principles of semantic search, its reliance on embeddings, and the reasons why text that appears similar might not provide the desired answer. Learn about vector search, hybrid search, and their applications in information retrieval.
semantic search / vector search / embeddings / AI / information retrieval / natural language processing / hybrid search / Azure AI Search
Step-by-step guide to creating an index, generating embeddings, and executing hybrid queries that combine full-text and vector search using Azure AI Search.
azure-ai-search / hybrid-search / vector-search / semantic-reranker / index-schema / embeddings
Learn how to effectively evaluate the precision and recall of AI models, especially when working with small question datasets. This guide covers the concepts, calculation methods, and practical considerations using scikit-learn.
ai / precision / recall / evaluation / small dataset / machine learning / scikit-learn / classification