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Introducing layered ranking for RAG applications
Introducing layered ranking: The missing piece for context engineering at scale.
Perplexity builds AI Search at scale on Vespa.ai
Perplexity chose to build on Vespa.ai to provide the world's most used RAG application.
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Vespa Newsletter, September 2025
Advances in Vespa features and performance include new ANN tuning parameters, improvements to Geo filtering, filtering in grouping, and relevance score carry-over to global ranking.
Photo by
Nina Mercado
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A Short Guide to Tweaking Vespa's ANN Parameters
This a companion post to the previous technical blog post, explaining how to tweak Vespa's ANN parameters.
Photo by
Alina Grubnyak
on
Unsplash
Additions to HNSW in Vespa: ACORN-1 and Adaptive Beam Search
This blog post highlights the latest additions to HNSW in Vespa, how to use them, and what's to come in the future.
Case study: Using Vespa Cloud Resource Suggestions to optimize costs
How Onyx.app saved 25% with a safe and straightforward automated configuration change, with zero work to optimize spending and performance
Exploring Hierarchical Navigable Small World
This summer, we got to explore Hierarchical Navigable Small World, a foreign concept for us both - we’ll take you on the journey we went through.
Introducing Private Embedding Models in Vespa Cloud
We are thrilled to announce a new enhancement to Vespa Cloud, native support for private Hugging Face embedders!
Building the Next-Gen Diligence Engine: Why 8byte is Partnering with Vespa.ai
8byte is building a next-gen diligence engine for private equity, powered by Vespa.ai’s sub-100 ms search. The result: real-time risk scoring, 5× analyst throughput, and 50% lower infrastructure costs.
The secret to Perplexity's lead in AI Search
How can Perplexity crush it when they are using the models of their competitors?
Vespa Implementation Services: From Migration to Production Scale
Drawing from real-world experience, we offer flexible service packages tailored to common Vespa implementation challenges, allowing organizations to engage based on their unique needs and stage.
Unlocking Next-Gen RAG Applications for the Enterprise: Connecting Snowflake and Vespa.ai
Why intelligent RAG systems need both Snowflake (for structured scale) and Vespa (for high-performance retrieval across unstructured text.
Vespa Quickstart - How to build an Application with Vespa
Get started with Vespa and set up your first application. Build your first Vespa instance using Python.
The RAG Blueprint
An open source sample application that contains everything you need to create a RAG solution with world-class accuracy and infinite scalability.
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