// Deep Learning for Search training
Vector-Based Search

Deep Learning can be used to produce a vector representation of both the query and the documents in a corpus of information. A Dense vector describes information as an array of elements, each of them explicitly defined. Various Deep Learning models such as BERT are able to encode textual information as dense vectors, to be used for Dense Retrieval strategies.
This training explores approaches in sparse and dense vector retrieval, including approximate strategies that bring great performance benefits.

PREREQUISITES

• Basic understanding of Search Engines and Machine Learning

WHAT YOU WILL LEARN

• How vector based search works
• How Deep Learning can be used along with Vector Based Search

INTENDED AUDIENCE

• Technical Managers
• Technical Team Leaders
• Data scientists
• Software Engineers
• Developers

Based on experience with leading companies including

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Public Training

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Unfortunately, the dates of this training have already passed, but don’t worry we are working to have new dates available. If you want to stay up to date on our training sessions, subscribe to our newsletter and you will always be aware of what is happening at the Sease.
  • Live on Zoom
  • Top expert trainers
  • Certificate of Attendance
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Pre-recorded

coming soon

We are working to provide a pre-recorded version of our bestseller training. If you want to receive an email as soon as we publish it, subscribe to our newsletter.
  • Top expert trainers
  • Q&A by e-mail
  • Certificate of Attendance
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Private

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If you are looking for intensive sessions tailored on your (or your team) experience, then private training is your perfect choice! You can choose between online or live training.
  • In-presence or Online
  • Tailored training
  • Top expert trainers
  • Certificate of Attendance
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// Deep Learning for Search Vector-Based Search

Our Trainer

Alessandro Benedetti

APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER

Alessandro has been involved in designing and developing search-relevant solutions from 2010.
Over the years he has worked on various projects, with various open source technologies aiming to build search solutions able to satisfy the user information needs, often integrating such solutions with machine learning and artificial intelligence technologies.

Full Program

  • Similarity search of dense vectors;
  • Nearest Neighbour Retrieval;
  • Brute-Force Exact Nearest Neighbour;
  • Approximate Nearest Neighbour;
  • Hands on Exercises: Perform ANN search.
Frequently Asked Question

The Deep Learning for Search Vector-Based Search trainings will take place live on zoom!
We are working on being able to provide a recording of the training for those interested.

Everyone can participate on this training, the only prerequisites are written just over there!

Deep Learning for Search Vector-Based Search training last 4 hours.

You will be able to ask every question you have during the training!

Your teacher will be:
  – Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.

Sure, at the end of the training you will receive a certificate of attendance by e-mail.

If you can’t attend last minute you can contact us and reschedule on a different date with our team. Bear in mind this will have to be a private training.  

Yes, you can contact our Sales responsible Oriol Serra and find the best option for you and your team!

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