// deep learning for search
Vector-based Search + Augmenting The Inverted Index Training
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.
Private
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If you are looking for intensive sessions tailored to your (or your team’s) experience, then private training is your perfect choice!
- In presence or Online
- Tailored Training
- Top Expert Trainers
- Certificate of Attendance
Based on experience with leading companies including
Based on experience with leading companies including
Feedback
The positive feedback I had about your professionalism and skills in the areas of information retrieval and AI makes me think that you can definitely be an important partner for the growth and development of our products."
PREREQUISITES
• Basic understanding of Search Engines and Machine Learning
WHAT YOU WILL LEARN
• 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, Elasticsearch, OpenSearch and Vespa
INTENDED AUDIENCE
• Technical Managers
• Technical Team Leaders
• Data scientists
• Software Engineers
• Developers
Your 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.
Topics
- 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
The Vector-based search and Augmenting the Inverted Index training is available only as a private training. You can choose to ask for a live or virtual training.
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 need it, you can consult our Training’s Terms and Conditions.
Yes, you can contact us and find the best option for you and your team!