// vespa
End-to-End Vespa Neural Search Tutorial
In this tutorial, we will dive into the world of Vespa, a highly scalable and distributed search engine. We will explore how Vespa leverages neural networks to enhance search capabilities, improve relevance, and enable advanced natural language processing techniques. Join us as we uncover the exciting possibilities of neural search with Vespa.
Recorded
coming soon
If you are not able to attend public training, this is the best option for you. You will be able to take the course at your own pace and rhythm and learn whenever it fits your schedule and mood.
- Top expert trainers
- Q&A by e-mail
- Certificate of Attendance
Private
ask for quote
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
Recorded
coming soon
If you are not able to attend public training, this is the best option for you. You will be able to take the course at your own pace and rhythm and learn whenever it fits your schedule and mood.
- Top expert trainers
- Q&A by e-mail
- Certificate of Attendance
Public classroom
£ 250,00
SCHEDULE
19th Jun 2024
3:00 – 7:00 PM GMT+1
- Live on Zoom
- Top expert trainers
- Certificate of Attendance
Private
ask for quote
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
I highly recommend this course to anyone looking to avail of Solr neural search capabilities to improve search experience.
PREREQUISITES
• Basic understanding of Search Engines
• Basic understanding of Neural Search principles
• Familiarity with Vespa
WHAT YOU WILL LEARN
• How to Prepare suitable documents
• How to export a suitable neural model and use it in Vespa
• How to configure Vespa for Neural Search
• How to run Nearest Neighbor queries, combining them with filters and textual search
INTENDED AUDIENCE
• Data scientists
• Software Engineers
• Developers
Your Trainers
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.
Anna Ruggero
R&D Search Software Engineer, her focus is on the integration of Information Retrieval systems with advanced Machine Learning, Natural Language Processing and Data Mining algorithms. She likes to find new solutions that integrate her work as a Search Consultant with the latest Academia studies.
The schedule
The training session is meticulously structured for optimal comprehension and retention.
It commences with a comprehensive 1-hour theory session, followed by a brief 15-minute test to assess understanding. Subsequently, participants engage in a 45-minute Q&A segment, fostering interactive learning and clarification of concepts. The training then resumes with another 1-hour theory module, another 15-minute evaluation test, and concludes with a final 45-minute Q&A session to consolidate knowledge and address any remaining queries.
3:00-4:00 theory session
4:00-4:15 test
4:15-5:00 Q&A segment
5:00-6:00 theory session
6:00-6:15 test
6:15-7:00 Q&A segment
Topics
1. BRIEF OVERVIEW
The training begins by providing participants with a foundational understanding of Vespa and Neural Search. This introductory module offers insights into the significance, applications, and fundamental concepts underlying Vespa and Neural Search, setting the stage for deeper exploration.
2. PREPARE DOCUMENTS
In this section, learn how to create documents that align with Vespa’s required format. A Python script with real examples will be shown to participants.
3. EXPORT THE NEURAL MODEL
Explore the management aspects of language models through their lifecycle. Currently, Vespa supports models in ONNX XGBoost and LightGBM format. In this section, participants will learn how to export a HuggingFace model to be loaded in Vespa with step-by-step code examples.
4. CONFIGURE VESPA (SERVICES + SCHEMA)
In this section, learn how to configure Vespa to use an embedding model both at index and query time. Explore the steps to define and configure the vector field within your Vespa schema. Gain practical insights into optimizing the indexing process to efficiently store and manage vector data. Lay the foundation for leveraging vector fields in neural search applications within Vespa.
5. Index documents
Discover how to index documents into Vespa’s neural search index. Follow a step-by-step guide to ingest and store documents within the Vespa index, ensuring efficient retrieval and search capabilities. Learn best practices for optimizing indexing performance and maintaining data integrity. Gain practical experience in seamlessly integrating document indexing with Vespa’s neural search functionality.
6. Neural Search Queries
- Exact Nearest Neighbor Search
- Approximate Nearest Neighbor Search
- Approximate Nearest Neighbor with query filter
- Multi-vector Approximate Nearest Neighbor Search
- Multiple Nearest Neighbor Search Operators in the Same Query
- Hybrid Sparse and Dense Retrieval Methods
- Normalized Hybrid Search
- Approximate Nearest Neighbor for Re-ranking
FAQ
The training session is conducted online via Zoom for live participation. However, for those who may not be able to attend in real-time or prefer to learn at their own pace, we are working on a recorded version. This allows participants to access the content online and review it at their convenience.
Absolutely! Everyone is welcome to participate in this training. Please note that there are specific prerequisites listed nearby, so be sure to check those before inviting others to ensure they meet the requirements.
The ‘The End-to-End Vespa Neural Search Tutorial’ training session has a duration of 4 hours. This includes a 2-hour theory session, a 30-minute test, followed by a 1.5-hour Q&A segment.
Yes, absolutely! You will have the opportunity to ask any questions you may have at the end of the test module.
Your teachers will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
Yes, indeed! At the conclusion of the training, you will receive a certificate of attendance via email.
If you need it, you can consult our Training’s Terms and Conditions.
Yes, we do offer corporate training sessions. Feel free to reach out to us, and we’ll be happy to discuss the best options tailored for you and your team!