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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.

While hybrid search leverages the strengths of different algorithms, it introduces a new challenge: how to fairly compare and combine scores from these diverse sources. This is where rank normalization comes into play.

Eliatra is a founding member of the newly established OpenSearch Software Foundation under the Linux Foundation! This is a big step for us and reinforces our commitment to driving innovation in the open-source search and analytics space.

Eliatra Joins OpenSearch Software Foundation as Founding Member, Reinforcing Long-standing Commitment to Open Source Search

An exploration of The Linux Foundation’s Role in Tech Innovation.

Introduction to OpenSearch: A Vital Open-Source Solution

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

I'll guide you through the fascinating world of Conversational Search, its implementation, and its potential impact.