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Vespa Newsletter, May 2026

Vespa Newsletter, May 2026

Welcome to the latest edition of the Vespa newsletter. In the previous update, we introduced the…

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AI-Powered Search: Context Is King, But Your RAG System Ignores Two-Thirds of It | S2 E21

AI-Powered Search: Context Is King, But Your RAG System Ignores Two-Thirds of It | S2 E21

Today, I sit down with Trey Grainger, author of the book AI-Powered Search. We discuss the…

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Deep dive: Enabling pluggable storage in the OpenSearch vector engine

Deep dive: Enabling pluggable storage in the OpenSearch vector engine

In 2019, OpenSearch introduced the Vector Engine, which supports three native engines: Non-Metric Space Library (NMSLIB),…

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Semantic Search on Bonsai

Semantic Search on Bonsai

Adding Semantic Search to Elasticsearch/OpenSearch with MistralAI Embeddings. This in the next installment in a series…

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Lead Author of “AI-Powered Search” Trey Grainger joins OSC team

Lead Author of “AI-Powered Search” Trey Grainger joins OSC team

The Next Generation of Search at OpenSource Connections In 2016 Manning published Relevant Search, co-written by…

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Search Embeddings in Vector-Based Search Solutions

Search Embeddings in Vector-Based Search Solutions

The limitations of keyword search are well known. Search embeddings and vector based-search overcomes these limitations. Here’s how.

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