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Posts by Bonnie Chase
Vespa Newsletter, December 2025
Advances in Vespa features and performance include automated ANN tuning, accelerated vector distance calculations with Google Highway, precise chunk-level matching with enhanced sameElement, and expressive...
Beyond Vector Search: The Move to Tensor-Based Retrieval
Tensors preserve critical context, making them far better suited for advanced retrieval tasks where precision and explainability matter.
Vector Search Is Reaching Its Limit. Here’s What Comes Next
As RAG applications evolve, they require richer data representations that capture relationships within and across modalities, like text, images and video.
RAG at Scale: Why Tensors Outperform Vectors in Real-World AI
This a companion post to the previous technical blog post, explaining how to tweak Vespa's ANN parameters.
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....
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
Why a Search Platform (Not a Vector Database) is the Smarter Choice for AI Search
AI search requires more than a vector database. A search platform bridges the gaps.
Introducing Vespa Voice — Your Signal for What’s Next in AI-Driven Search Infrastructure
Introducing Vespa Voice: a podcast on AI infrastructure, hybrid search, and RAG.
Shrinking Embeddings for Speed and Accuracy in AI Models
How MRL and BQL Make AI-Powered Representations Efficient
Transforming the Future of Information Retrieval with ColPali
ColPali simplifies and enhances information retrieval from complex, visually rich documents, transforming retrieval-augmented generation
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