SearchLayer Monthly Newsletter – June 2026

Posted on 1 June 2026by searchlayer

Hello and welcome to our first monthly newsletter. With this message, we intend to provide the latest updates about our products.

Demo websites are live!

We finally launched our demo websites to showcase both our Magento and WooCommerce integration capabilities. Both websites are connected to our live SearchLayer backend and makes it possible to experience and evaluate the search experience for free!

https://demo-magento.searchlayer.tech

https://demo-woocommerce.searchlayer.tech

New dashboard feature added

After our product demo a customer gave us good feedback and we directly picked it up! This resulted in improving our customer dashboard and included new great insights that directly helped the customer to learn from the search behavior. Besides improved query logging, we added a graph showing which websites have the most activity. It is a small feature, but it immediately provides clear value for the customer.

MCP & A2A integrations are available!

Also our team worked hard on further improving the way now customers connect with webshops using AI technology. In the near future we already see a shift in webshop interaction, from a traditional website to an integrated search approach. Think about users that just order your products through ChatGPT or Claude chat interface without even actually visiting your website.

That’s why we created two integrations that make this possible for both Magento and WooCommerce. We currently support both MCP (Model Context Protocol) and the newer A2A (Agent to Agent) standards. This way we make integration with platforms like ChatGPT and Claude possible, while also allowing other agents to communicate directly with your backend. Currently the functionality is now out of beta and available for customers to test against their webshops.

For now, the focus is on search, with a longer-term goal of supporting the full order journey through autonomous agents that provide a customer-centric, proactive experience.

This was our first update! If you have any questions, you can reach us at info@searchlayer.tech or through the contact form at https://searchlayer.tech/contact.

Benchmarking Self Hosted Embedding Models

Posted on 14 December 2025by searchlayer

Vector embeddings power a lot of modern search and retrieval systems. In practice, though, choosing an embedding model is less about leaderboards and more about engineering tradeoffs:

How many tokens per minute can I push through it
How much GPU memory does it need

In this post I will walk through a small benchmark setup for four popular self hosted embedding models.

From Cost Center to Revenue Engine: How On-site Search Can Drive 10 to 30 Percent More Revenue

Posted on 8 December 2025by searchlayer

If you are like most ecommerce teams, your on-site search is treated like plumbing. As long as it returns something and does not crash, it quietly stays off the roadmap.

Yet that small box at the top of your site is one of the highest intent, highest margin levers you have.

Niet gecategoriseerd

How to import csv to Elasticsearch

Posted on 13 June 2025by searchlayer

There are multiple ways to import a CSV into Elasticsearch. For this how-to, we will explain two different ways to do it. The first one is with Logstash, and the second one is with Python.

AI ElasticSearch Search

Setting Up ElasticSearch for Semantic Search with ELSER

Posted on 9 March 2025by searchlayer

In today’s data-driven world, efficient search is critical. Traditional keyword search falls short when understanding context and user intent. Semantic search solves this problem by understanding meanings rather than just matching words.

In this tutorial, I’ll guide you through setting up Elasticsearch with the Elastic Learned Sparse EncodeR (ELSER) model for powerful semantic search capabilities. ELSER is Elastic’s specialized ML model that creates sparse vector representations to efficiently capture semantic meaning while maintaining computational performance.

AI OpenSearch

Simple Guide to RAG Setup with OpenSearch – part 2

Posted on 9 February 2025by searchlayer

This is part two of the three-part RAG series. In this part, we will set up a Python script to load a dataset and pass the embedded text to OpenSearch.

AI OpenSearch

Simple Guide to RAG Setup with OpenSearch – part 1

Posted on 8 February 2025by searchlayer

In this guide, we explore how to get started with OpenSearch and OpenSearch Dashboards using Docker. This setup forms the foundation for creating a local RAG environment.