When delving into the realm of vector database technology Vespa emerges as a prominent player offering a comprehensive solution for developers and relevancy engineers This opensource platform is designed to cater to the intricate needs of modern applications providing a robust framework for finetuning text ranking features to address
Vespa supplier of the leading platform for applications that leverage AI and data online at scale today announced it has earned recognition as a leader and forward mover in the GigaOm Sonar for Vector Databases Read more All press releases Start exploring the Vespa cloud today for free
Vespa data AI online
Vespa is a platform for applications which need fast computation over large data sets It stores and indexes structured text and vector data and supports queries selection processing and machinelearned model inference over the data
Company Vespaai
Getting Started Vespa
Vespa is a fully featured search engine and vector database It supports vector search ANN lexical search and search in structured data all in the same query Integrated machinelearned model inference allows you to apply AI to make sense of your data in real time Together with Vespas proven scaling and high availability this empowers
Vector database feature comparison This compares the features available in Vespa and Vespa Cloud to the leading alternatives While we have aimed to include all significant features present in any of these engines this probably still reflects what we in the Vespa team consider important based on our 20 years of experience serving workloads involving AI and big data online at large scale
Vespa Database
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Vespa Overview
Vespa is the worlds leading open text search engine and the worlds most capable vector database In combination with Vespas integrated distributed machinelearned model inference for relevance this lets you create search applications with a quality you simply cannot achieve in any other way
Welcome to the Vespa documentation site To see what Vespa is about visit the Vespa home page Getting started Create your first app Table of contents Browse documentation FAQ Frequently asked questions Vespa Slack chat with users and developers GitHub Issues browse and create issues
Vespa LangChain
Vector database feature comparison Vespa
Vespa Database
Vespa is a platform that performs these operations for you with high availability and performance It has been in development for many years and is used on several large internet services and apps which serve hundreds of thousands of queries from Vespa per second
Vespa is a fully featured search engine and vector database It supports vector search ANN lexical search and search in structured data all in the same query
Vespa Documentation
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Vespa vs Chroma A Detailed Comparison in Vector Database Tech
Vespa applications can contain custom components to be run by Vespa for example on receiving queries or documents The applications must be able to run on a JVM While all the builtin behavior of Vespa can be invoked by an YQL query advanced applications often choose to use plugin components to build queries from frontend requests as doing