Announcing Matryoshka (dimension flexibility) and binary quantization in Vespa and how these features slashes costs.| Vespa Blog
A guide on implementing advanced video retrieval at scale using Vespa and TwelveLabs’ multi-modal embedding models.| Vespa Blog
Three comprehensive guides to using the Cohere Embed v3 binary embeddings with Vespa.| Vespa Blog
This is the first blog post in a series on hybrid search. This first post focuses on efficient hybrid retrieval and representational approaches in IR| Vespa Blog
For an introduction to nearest neighbor search, see nearest neighbor search documentation, | docs.vespa.ai
A new search experience for Vespa-related content - powered by Vespa, LangChain, and OpenAI’s chatGPT model - our motivation for building it, features, limitations, and how we made it.| Vespa Blog