Mediumish is a free Jekyll theme for blogging, Medium style, built with Bootstrap v4.x. Mediumish is compatible with Github pages and it is modern, clean and lightweight. Download Mediumish here.| Wow Themes
Where should you begin if you plan to implement search functionality but have not yet collected data from user interactions to train ranking models?| Vespa Blog
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
A schema defines a document type and what we want to compute over it, the| docs.vespa.ai
An application package is a set of files in a specific structure that defines a deployable application.| docs.vespa.ai
This is a technical blog post on developing an end-to-end Visual RAG application powered by Vespa. It has link to a live demo application, and will walk you through why and how we built it, as well as give you the code to build your own Visual RAG application with your own data.| Vespa Blog
The| docs.vespa.ai
How to create your own reusable retrieval evaluation dataset for your data and use it to assess your retrieval system’s effectiveness| Vespa Blog
Three comprehensive guides to using the Cohere Embed v3 binary embeddings with Vespa.| Vespa Blog
Lightweight models in two variants, optimized for when speed and efficiency matter most, with a context window of up to one million tokens.| Google DeepMind
Announcing long-context ColBERT, giving it larger context for scoring and simplifying long-document RAG applications.| Vespa Blog
expand all| docs.vespa.ai
expand all| docs.vespa.ai
Vespa allows expressing multi-phased retrieval and ranking of documents. The retrieval phase is done close to the data in the content nodes,| docs.vespa.ai
