Our recorded Training
Looking to up your information retrieval game? Our recorded training sessions have got you covered! Gain valuable insights and techniques for efficient information retrieval in just a few clicks. Our recorded training sessions offer the flexibility to learn at your own pace. No need to rush through the content or worry about falling behind. You can pause, rewind, and replay the material as many times as you need to fully grasp the concepts.
LARGE LANGUAGE MODELS IN SEARCH
Unleash the full potential of your project as we guide you through the intricacies of leveraging large language models for enhanced search functionality.
RECORDED TRAINING
End-to-End
Apache Solr neural search tutorial
In this training, you will learn how to leverage this Apache Solr feature to index and search vectors and perform a full end-to-end neural search with real examples to improve your search experience!
RECORDED TRAINING
End-to-End Elasticsearch neural search tutorial
In this tutorial, we will explore how Elasticsearch leverages neural networks to enhance search capabilities, improve relevance, and enable advanced natural language processing techniques.
RECORDED TRAINING
End-to-End OpenSearch neural search tutorial
In this training, you are going to learn how to use the new OpenSearch Neural Plugin. You will see the end-to-end pipeline, from the language model upload to its usage in the Neural Search, with real examples and a hands-on tutorial.
RECORDED TRAINING
Deep Learning for Search -
open source approaches
This training explores the state of the art of how this innovative approach is supported by Open Source search engines such as Elasticsearch, Apache Solr, OpenSearch and Vespa.
RECORDED TRAINING
Learning to Rank [FULL TRAINING]
In this Learning to Rank Training, you will solve a ranking problem by integrating a machine learning system with your search engine.
RECORDED TRAINING
APACHE SOLR VERSION
ELASTICSEARCH VERSION
learning to rank -
How to build your training set
This training is a technical guide to exploring and mastering various techniques to generate your training set(s) correctly and efficiently.
RECORDED TRAINING
learning to rank -
train, evaluate and explain your ltr model
In this training, you are going to learn how to train, evaluate, and interpret models, exploring essential libraries and strategies for impactful ranking decisions. Engage in hands-on code examples for a deeper understanding of the process.
RECORDED TRAINING
learning to rank -
Apache Solr Integration
In this training, you are going to learn how to use the new OpenSearch Neural Plugin. You will see the end-to-end pipeline, from the language model upload to its usage in the Neural Search, with real examples and a hands-on tutorial.
RECORDED TRAINING
learning to rank -
Elasticsearch Integration
This training illustrates how you can use the Elasticsearch LTR component to integrate machine learning with your search pipeline.
RECORDED TRAINING
Search Quality Evaluation -
product manager
This course provides an in-depth understanding of relevance and why it is important to measure the quality of your search engine.