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Announcing our series A funding

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Announcing our series A funding

Announcing a $31 million investment from Blossom Capital

Vespa Newsletter, October 2023

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Vespa Newsletter, October 2023

Advances in Vespa features and performance include Vespa Cloud Enclave, Lucene Linguistics integration, much faster fuzzy query term matching, and performance and usability improvements.

Introducing Lucene Linguistics

This post is about an idea that was born at the Berlin Buzzwords 2023 conference and its journey towards the production-ready implementation of the new Apache Lucene-based Vespa Linguistics component....

HTTP/2 Rapid Reset (CVE-2023-44487)

Vespa 8.240.5 is available with updated dependencies to address CVE-2023-44487.

Vespa is becoming a company

Vespa is becoming its own company!

Announcing search.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 Newsletter, August 2023

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Vespa Newsletter, August 2023

Advances in Vespa features and performance include multilingual models, more control over ANN queries, mapped tensors in queries, and multiple new features in pyvespa and the Vespa CLI.

Summer Internship at Vespa

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Summer Internship at Vespa

The tale of 2023's summer interns and their attempt at generating training data for information retrieval with LLMs.

Representing BGE embedding models in Vespa using bfloat16

This post demonstrates how to use recently announced BGE embedding models in Vespa. We evaluate the effectiveness of two BGE variants on the BEIR trec-covid dataset. Finally, we demonstrate how...

Accelerating Transformer-based Embedding Retrieval with Vespa

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Accelerating Transformer-based Embedding Retrieval with Vespa

In this post, we’ll see how to accelerate embedding inference and retrieval with little impact on quality. We’ll take a holistic approach and deep-dive into both aspects of an embedding...

Simplify Search with Multilingual Embedding Models

This blog post presents and shows how to represent a robust multilingual embedding model of the E5 family in Vespa.

Vespa Newsletter, July 2023

Photo by Ilya Pavlov on Unsplash

Vespa Newsletter, July 2023

Advances in Vespa features and performance include Vector Streaming Search, GPU accelerated embeddings, Huggingface models and a solution to MIPS using a nearest neighbor search.