All Stories
Photo by Ilya Pavlov on Unsplash
Vespa Newsletter, September 2022
Advances in Vespa features and performance include rank-phase statistics, detailed rank performance analysis, new query- and trace-applications and a new training video!
Photo by Joshua Sortino on Unsplash
Will new vector databases dislodge traditional search engines?
Doug Turnbull asks an interesting question on Linkedin; Will new vector databases dislodge traditional search engines?
IR evaluation metrics with uncertainty estimates
Compare different metrics and their uncertainty in the passage ranking dataset.
Photo by Arnold Francisca on Unsplash
Summer internship at Vespa
After the summer internship of 2022 the intern has summarized what he has done and his experience at Vespa
Photo by israel palacio on Unsplash
Managed Vector Search using Vespa Cloud
This blog post describes how your organization can unlock the full potential of multimodal AI-powered vector representations using Vespa -- the industry-leading open-source big data serving engine.
Photo by Scott Graham on Unsplash
Vespa Newsletter, June 2022
Advances in Vespa features and performance include ANN with configurable filtering, fuzzy matching, and native embedding support. Also see pyvespa’s new experimental ranking module!
Photo by Claudio Schwarz on Unsplash
Vespa 8 is here
Announcing the release of Vespa 8 - the next major version of vespa.ai
Vespa at Berlin Buzzwords 2022
Find videos and links from four Vespa-related talks at Berlin Buzzwords 2022, Germany’s most exciting conference on storing, processing, streaming and searching large amounts of digital data.
Photo by Graham Holtshausen on Unsplash
Billion-scale vector search using hybrid HNSW-IF
This blog post describes HNSW-IF, a cost-efficient solution for high-accuracy vector search over billion scale vector datasets.
Photo by Christopher Burns on Unsplash
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 recommendation problems at scale.
Photo by Ilya Pavlov on Unsplash
Vespa Newsletter, April 2022
Advances in Vespa features and performance include tensor and ranking configuration improvements, pyvespa usability features and grouping configuration. Also find new guides for performance and ANN. And a podcast!
Photo by Jon Flobrant on Unsplash