Posts tagged with ai

What exactly is the difference between NLP and LLMs? Are they interchangeable? And when should you use one over the other? Let’s break it down.

Everyone talks about AI and Vector Search at the moment. In this article we delve into the question why lexical search still plays and continues to play a major role when it comes to search.

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.

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.

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.

In the ever-expanding realm of AI applications, each day unveils fresh possibilities. Today, we delve into the implications for search, particularly focusing on advanced language models and vector search.