Max Irwin

Part 1 - Choosing a Retriever Part 2 - Choosing a Model Our goal for this part is to choose a model for RAG.

A straightforward guide to scaling an autocomplete solution in Elasticsearch or OpenSearch.

Approaching prompting from a domain, persona, and user context perspective.

The first and only straightforward guide for implementing a good autocomplete solution in pure Elasticsearch or Opensearch, because all the other guides are terrible and don’t work.

Ignore previous instructions and enjoy the moment!

In the second hour of “Connections with Evan Dawson” on May 14, 2025, we’re joined by an AI expert and a member of the New York State Assembly for a discussion about legislation that would regulate AI.

It happened.

In the second hour of “Connections with Evan Dawson” on Feb. 7, 2025, guest host Matt DeTurck and his guests explore the role of AI in movie relationships.

In the second hour of “Connections with Evan Dawson” on Dec. 23, 2024, we discuss if OpenAI’s o3 and other new forms of artificial intelligence can go beyond the limits of human intelligence.

Apply cutting-edge machine learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results.

An AI conference and exhibition shaping culture, education, communication, and business in Rochester, New York.

In the first hour of “Connections with Evan Dawson” on Friday, September 8, 2023, our guests discuss current phone scams involving humans and AI, and what community members need to know.

In the second hour of “Connections with Evan Dawson” on Wednesday, May 3, 2023, our guest explains the difference between different types of artificial intelligence and what he expects for the future of AI.

EBSCO’s Clinical Decisions is committed to providing health care professionals with precise answers to their clinical questions.

In the second hour of “Connections with Evan Dawson” on Wednesday, March 22, 2023, our guests discuss perceptions of new technology like artificial intelligence (AI), and the theory of “reverse Scooby-Doos.”

Topics:00:00 Introduction01:10 Max’s deep experience in search and how he transitioned from structured data08:28 Query-term dependence problem and Max’s perc… Max Irwin - Founder, MAX.IO - On economics of scale in embedding computation with Mighty Topics:…

So you want to deploy a large language model, and keep your latency SLA?

This is the second hour of “Connections with Evan Dawson” on Monday, February 7, 2022.

All the areas of a complete search experience that are being improved, and sometimes even replaced, by solutions using large-language models.

Use this playbook as a reference when you migrate to Solr or Elasticsearch, as featured in our talk The Search Engine Migration Circus Migrate to Solr or Elasticsearch [or OpenSearch] with this Playbook Use this playbook as a reference when you migrate to…

Omnichannel merges the digital and physical stores in a seamless experience, and site-search drives that seamlessness.

How much money are you losing or gaining, depending on a site-search query?

Today we’ll discuss KPIs for the actual product items that are presented to a buyer when they use your site-search.

You have a search platform installed and working, you’re measuring, experimenting, and improving search quality, but you’re still having difficulty fixing some complicated and annoying problems you still have.

So you need to migrate your search to a different engine or platform.

We unwrap the mystery behind two popular search relevance metrics nDCG and ERR through visualization, and discuss their pros and cons.

This article gives an overview into the opportunities and challenges when applying advanced transformer models such as BERT to search.

105 falsehoods programmers believe about search, a complex field where competence is hard-won through training, practice, and experience.

Welcome, dear reader, to my first OSC blog post.

Haystack is the conference focused on cognitive search and relevance engineering!

Haystack is the conference focused on cognitive search and relevance engineering!

A year ago, I created a small demo of animating guilloches as two dimensional graphics on an HTML5 canvas.

This tool converts a calendar year between Gregorian Common Era (CE) คริสต์ศักราช (ค.ศ.), Buddhist Era (BE) พุทธศักราช (พ.ศ.), Jula Sakarat (JS) จุลศักราช (จ.ศ.), and Ratanakosin Sakarat (RS) รัตนโกสินทร์ศก (ร.ศ.)

This article outlines the process for porting Andrew Trask’s (aka IAmTrask) 11-line neural network[1] from Numpy (Python) to Torch (Lua).

Having recently read a blog post on guilloches[1], I became intrigued and the post inspired me to recreate them.

The mechanisms for storing data in the client are inadequate and unprepared for the next generation of web applications.

After some hammock driven development, Harissa is mature enough to release some results.

I’ve been known to debate about a subject, which I like to call ‘The Idea is Art’.