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Farfetch: Scaling recommendations with Vespa

E-commerce platform Farfetch explains how they use Vespa to scale their online recommendation system

Marqo chooses Vespa

Vector search experts Marqo choose Vespa as their vector database after benchmarking against Milvus, OpenSearch, Weaviate, Redis, and Qdrant.

Migrating to the Vespa Search Engine

In this post, I will detail the journey at Stanby of how we have addressed the challenges faced by our existing search system through migrating to Vespa.

Perspectives on R in RAG

In this blog post, I share perspectives on the R in RAG.

Scaling vector search using Cohere binary embeddings and Vespa

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Scaling vector search using Cohere binary embeddings and Vespa

Three comprehensive guides to using the Cohere Embed v3 binary embeddings with Vespa.

The Singaporean government deploys state of the art semantic search

The Singapore Government Pair Search

The Singaporean government deploys state of the art semantic search

The Singaporean government leverages Vespa to do semantic search in every word ever said in Parliament

Announcing Vespa Long-Context ColBERT

Announcing long-context ColBERT, giving it larger context for scoring and simplifying long-document RAG applications.

Embedding flexibility in Vespa

Why did Vespa score "Exceptional" on Embedding Flexibility in GigaOm's report on Vector Databases?

Vespa Newsletter, February 2024

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Vespa Newsletter, February 2024

Advances in Vespa features and performance include the YQL IN operator, new streaming search features, and embed using parameter substitution.

When you're using vectors you're doing search

Photo by NEOM on Unsplash

When you're using vectors you're doing search

Combining scale and quality takes more than vector similarity search

Announcing the Vespa ColBERT embedder

Announcing the native Vespa ColBERT embedder in Vespa, enabling explainable semantic search using token-level vector representations

GigaOm Sonar for Vector Databases Positions Vespa as a Leader

Although we're more than a vector database, we're happy to be recognized as a leader in this category