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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

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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

Exploring the potential of OpenAI Matryoshka 🪆 embeddings with Vespa

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Exploring the potential of OpenAI Matryoshka 🪆 embeddings with Vespa

Using the "shortening" properties of OpenAI v3 embedding models to greatly reduce latency/cost while retaining near-exact quality

Announcing IN query operator

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Announcing IN query operator

The new IN operator is a shorthand for multiple OR conditions, enabling writing more concise queries with better performance

Redefining Hybrid Search Possibilities with Vespa - part one

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Redefining Hybrid Search Possibilities with Vespa - part one

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

Announcing Vespa Cloud Enclave: Bring your own cloud

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Announcing Vespa Cloud Enclave: Bring your own cloud

Deploy your Vespa Cloud applications inside AWS accounts or GCP projects you own, while still managed and operated by Vespa.ai.