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Posts by Geir Storli
Tripling the query performance of lexical search
Improvements made to triple the query performance of lexical search in Vespa.
Elasticsearch vs Vespa Performance Comparison
Detailed report of a comprehensive performance comparison between Vespa and Elasticsearch for an e-commerce search application.
Announcing support for global significance models
A global significance model improves ranking for streaming search and ensures deterministic search results in multi-node deployments.
Announcing IN query operator
The new IN operator is a shorthand for multiple OR conditions, enabling writing more concise queries with better performance
Announcing Maximum Inner Product Search
Vespa can now solve Maximum Inner Product Search problems using an internal transformation to a Nearest Neighbor search. This is enabled by the new dotproduct...
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...
Revolutionizing Semantic Search with Multi-Vector HNSW Indexing in Vespa
Announcing multi-vector indexing support in Vespa, which allows you to index multiple vectors per document and retrieve documents by the closest vector in each document....
Query Time Constrained Approximate Nearest Neighbor Search
This blog post describes Vespa's industry leading support for combining approximate nearest neighbor search, or vector search, with query constraints to solve real-world search and...
Doubling the throughput of data redistribution
Learn which improvements we made to double the throughput of data redistribution in Vespa.
Approximate Nearest Neighbor Search in Vespa - Part 1
In this blog post we explore how the Vespa team selected HNSW (Hierarchical Navigable Small World Graphs) as the baseline approximate nearest neighbor algorithm for...
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