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Explore the concept of hybrid search in Apache Solr through this 28-minute conference talk. Learn about the combination of traditional keyword-based search and vector-based search techniques to overcome limitations in modern search systems. Discover various methods for implementing hybrid search in Apache Solr, including tips, recommendations, advantages, and disadvantages. Gain insights into the future developments of this innovative search approach from Apache Lucene/Solr committer and Solr PMC member Alessandro Benedetti. Understand the challenges of vector-based search, such as difficulty in explaining results and lack of exact keyword matching, and how hybrid search addresses these issues. Delve into the world of Information Retrieval, Natural Language Processing, and Machine Learning as applied to real-world search scenarios.
