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FOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas Knize
Manage episode 461965949 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Nicholas Knize discusses optimizing geospatial indexing and hybrid search using advanced data structures within the Lucene framework at FOSS4G NA 2024. He emphasizes reducing cloud infrastructure waste and improving geospatial data processing efficiency. Highlights π Discusses hybrid search and GeoAI advancements. π‘ Explains the evolution of geospatial data structures in Lucene. π Addresses cloud infrastructure waste, estimated at $72 billion. βοΈ Describes improvements in handling complex shapes and polygons. π Highlights collaboration between vector and geospatial indexing. π Emphasizes efficiency in search data structures for better performance. π οΈ Shares insights from experience at Elasticsearch and Lucene. For more content like this check out www.projectgeospatial.com #Geospatial #DataStructures #HybridSearch #CloudComputing #GeoAI #Lucene #FOSS4G
362 episodes
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Manage episode 461965949 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Nicholas Knize discusses optimizing geospatial indexing and hybrid search using advanced data structures within the Lucene framework at FOSS4G NA 2024. He emphasizes reducing cloud infrastructure waste and improving geospatial data processing efficiency. Highlights π Discusses hybrid search and GeoAI advancements. π‘ Explains the evolution of geospatial data structures in Lucene. π Addresses cloud infrastructure waste, estimated at $72 billion. βοΈ Describes improvements in handling complex shapes and polygons. π Highlights collaboration between vector and geospatial indexing. π Emphasizes efficiency in search data structures for better performance. π οΈ Shares insights from experience at Elasticsearch and Lucene. For more content like this check out www.projectgeospatial.com #Geospatial #DataStructures #HybridSearch #CloudComputing #GeoAI #Lucene #FOSS4G
362 episodes
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