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Photo by Ilya Pavlov on Unsplash
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6
In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...
Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support
In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
Vespa Product Updates, February 2019: Boolean Field Type, Environment Variables, and Advanced Search Core Tuning
In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
Vespa Product Updates, January 2019: Parent/Child, Large File Config Download, and a Simplified Feeding Interface
In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...
Tag search
Photo by Ilya Pavlov on Unsplash
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6
In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...
Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support
In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
Vespa Product Updates, February 2019: Boolean Field Type, Environment Variables, and Advanced Search Core Tuning
In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
Vespa Product Updates, January 2019: Parent/Child, Large File Config Download, and a Simplified Feeding Interface
In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...
Tag big data
Photo by Ilya Pavlov on Unsplash
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6
In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...
Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support
In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
Vespa Product Updates, February 2019: Boolean Field Type, Environment Variables, and Advanced Search Core Tuning
In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
Vespa Product Updates, January 2019: Parent/Child, Large File Config Download, and a Simplified Feeding Interface
In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...
Tag search engines
Photo by Ilya Pavlov on Unsplash
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6
In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...
Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support
In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
Vespa Product Updates, February 2019: Boolean Field Type, Environment Variables, and Advanced Search Core Tuning
In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...
Vespa Product Updates, January 2019: Parent/Child, Large File Config Download, and a Simplified Feeding Interface
In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...
Tag vespa vespa7
Tag machine learning
Tag recommendation systems
Tag reinforcement learning
Tag neural networks
Tag big data serving
Photo by Ilya Pavlov on Unsplash
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6
In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...
Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support
In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.
Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container
In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...
Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export
In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...
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Tag tensorflow
Tag learning to rank
Tag Search Engines
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Tag NLP
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Tag tensor
Tag vector search
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Photo by Marc Sendra Martorell on Unsplash
Announcing vector streaming search: AI assistants at scale without breaking the bank
With personal data, you need complete results at low cost, something vector databases cannot provide. Vespa's new vector streaming search delivers complete results at a fraction of the cost.
Tag vectors
Photo by Marc Sendra Martorell on Unsplash
Announcing vector streaming search: AI assistants at scale without breaking the bank
With personal data, you need complete results at low cost, something vector databases cannot provide. Vespa's new vector streaming search delivers complete results at a fraction of the cost.
Tag streaming
Photo by Marc Sendra Martorell on Unsplash
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