Latest from HORNET

Insights, updates, and deep dives into AI-powered retrieval technology and the future of agentic systems.

The scaling dimensions of keyword search
Thinking traces

The scaling dimensions of keyword search

Search has a new user: agents. Longer, programmatic queries change the performance math of keyword retrieval. Here we take a closer look at Block-Max WAND when querying is driven by agents.

Feb 6, 2026
9 min
Skip Everling

Skip Everling

Hornet.dev
Mutually Assured Distraction
Relevance

Mutually Assured Distraction

In agentic systems, retrieval is context injection. Better retrievers produce more convincing distractors; better reasoners trust those distractors more deeply. This is Mutually Assured Distraction.

Jan 30, 2026
11 min
Lester Solbakken

Lester Solbakken

Hornet.dev
How we build a retrieval engine for agents
Thinking traces

How we build a retrieval engine for agents

What happens when retrieval becomes verifiable? Agents stop just querying data and start improving their own context. This post breaks down how Hornet's schema-first, verifiable APIs enable self-optimizing systems built for agentic retrieval.

Jan 16, 2026
5 min
Skip Everling

Skip Everling

Hornet.dev
The case for a new retrieval engine for agents
Thinking traces

The case for a new retrieval engine for agents

The agentic shift is changing infrastructure. Agents need more than access to data; they need highly relevant context at scale. This article makes the case for a new retrieval engine built to power the next generation of agentic systems.

Oct 8, 2025
5 min
Jo Kristian Bergum

Jo Kristian Bergum

Hornet.dev

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