Posts in category ai

In this article, we will ingest test data to create Vector Embeddings with OpenSearch and then use lexical, semantic and hybrid searches to query our data.

In this article, we will show you how to create an Ingest Pipeline and a kNN-capable index in OpenSearch to automate creating Vector Embeddings as much as possible.

In this three-part guide, we'll walk you through the process of setting up vector and hybrid search using OpenSearch and its Neural Plugin, demonstrating how easy it can be to harness the power of advanced search technologies

We dive into the Vector capabilities of OpenSearch and provide an introduction to the Neural Plugin.

This article describes the differences between lexical and vector search in simple and easy terms, so you can decide which approach is best for your search use case

The surge in Large Language Models, like ChatGPT, has inspired diverse applications—generating lists of the best restaurants or crafting JavaScript for complex tasks. Their versatility is evident in both casual queries and intricate programming needs.