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FOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas Knize
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
š Discusses hybrid search and GeoAI advancements.
š” Explains the evolution of geospatial data structures in Lucene.
š Addresses cloud infrastructure waste, estimated at $72 billion.
āļø Describes improvements in handling complex shapes and polygons.
š Highlights collaboration between vector and geospatial indexing.
š Emphasizes efficiency in search data structures for better performance.
š ļø 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
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By Project Geospatial
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55 ratings
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
š Discusses hybrid search and GeoAI advancements.
š” Explains the evolution of geospatial data structures in Lucene.
š Addresses cloud infrastructure waste, estimated at $72 billion.
āļø Describes improvements in handling complex shapes and polygons.
š Highlights collaboration between vector and geospatial indexing.
š Emphasizes efficiency in search data structures for better performance.
š ļø 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