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Rethink search to put tireless agents at work for human users

http://softwaredoug.com

Doug Turnbull

Snuggie and Search Enthusiast

Feb 2026

June 2026

Humans increasingly search via chat, not search bars. Go beyond naive RAG to guide agents and understand intentWe teach you how:<ul><li>Leverage agentic reasoning to go beyond RAG - Traditional RAG can't reason. An agent learns about retrieval systems and tailors its searches for more accurate results. Go beyond naive RAG with agentic search</li><li>Craft effective retrieval - Focus an agent's reasoning on the user's task, not "search", with task-targeted search tools. Tools built for agents; not for humans.</li><li>Go beyond LLM as a judge - Integrate human and clickstream feedback to guide the agent's judgment towards what users want</li><li>Improve traditional search too - Take lessons learned through agentic search back to traditional "search bar" search, simplifying query and content understanding</li></ul>Come learn alongside search industry expert <a target="_blank" rel="noopener noreferrer nofollow" href="http://softwaredoug.com">Doug Turnbull</a> as we unpack how agents will change the search industry.We teach actual, practical solutions based on what works for real search teams. From query understanding with LLMs to late interaction

The no BS class on how search+RAG actually works

What makes a great search tool to an agent?

Use LLMs to help agents structure, organize, and find content

Agentic results without the cost

Orienting agentic search towards the human, not the machi

We will build on top of existing, core search knowledge

Lexical Search basics (do you know what BM25 is)

We will use common search datasets that use metrics like NDCG, etc to measure search

Basic search evaluation (judgments + metrics)

Vector search will be one tool in our toolkit we'll apply to the agentic tools that we build

Vector search basics (do you know what an embedding is?)

Search technologists that want to learn how to ensure RAG and agentic search win

Startups eager to get a fast start with a modern approach to search, sidestepping old, outdated practices

Data scientists that want to consider how agentic / LLM / RAG based search can be oriented towards user feedback and business outcomes

Search

Search

Cohort-based courses