// Deep Learning for Search Training
Vector-Based Search and
Augmenting the Inverted Index

Aggregating information from your search results is extremely valuable to help the user’s navigation and to highlight patterns and statistics. This training explores approaches in sparse and dense vector retrieval, including approximate strategies that bring great performance benefits, and explores the different available faceting approaches in Apache Solr, illustrating how to use them to achieve effective results.


• Basic understanding of Search Engines and Machine Learning


• How vector based search works
• How to use pre-trained language models and fine tune them for your specific use case
• The pros/cons of Document Expansion
• The pros/cons of Neural Term Scoring
• How to do that with Apache Lucene/Solr and Elasticsearch


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

Based on experience with leading companies including

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  • Top expert trainers
  • Q&A by e-mail
  • Certificate of Attendance


Public Training

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// Deep Learning for Search training
Vector-based search and Augmenting the Inverted Index

Our Trainer

Alessandro Benedetti


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

  • A bit of history (challenges with exact matching, Deep Learning, semantic search)
  • Similarity search of dense vectors;
  • Nearest Neighbour Retrieval;
  • Brute-Force Exact Nearest Neighbour;
  • Approximate Nearest Neighbour;
  • Hands-on Exercises: Perform ANN search.
  • BERT and transformers
  • Augmenting the inverted index (document expansion and emphasize important terms)
  • Hands-on Exercises
Frequently Asked Question

The Deep Learning for Search – Vector-based search and Augmenting the Inverted Index training 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!

The Deep Learning for Search – Vector-based search and Augmenting the Inverted Index 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 us and find the best option for you and your team!


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