Tag vespaengine

Vespa Meetup in Sunnyvale

WHAT: Vespa meetup with various presentations from the Vespa team.

Tag database

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

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, March 2019: Tensor updates, Query tracing and coverage

In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

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...

Efficient personal search at large scale

Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

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...

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

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, March 2019: Tensor updates, Query tracing and coverage

In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

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...

Efficient personal search at large scale

Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...

Tag big data

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

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, March 2019: Tensor updates, Query tracing and coverage

In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

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...

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

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...

Efficient personal search at large scale

Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...

Tag search engines

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

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, March 2019: Tensor updates, Query tracing and coverage

In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

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...

Efficient personal search at large scale

Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...

Tag vespa vespa7

Vespa 7 is released!

This week we rolled the major version of Vespa over from 6 to 7.

Tag machine learning

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

Tag recommendation systems

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

Tag reinforcement learning

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

Tag neural networks

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

Tag big data serving

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

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...

Tag vespa

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

Tag information retrieval

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

Tag e commerce business

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

Tag holiday shopping online

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

Tag tensorflow

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...

Tag learning to rank

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...