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Vector Search for Practitioners with Elastic

You're reading from   Vector Search for Practitioners with Elastic A toolkit for building NLP solutions for search, observability, and security using vector search

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805121022
Length 240 pages
Edition 1st Edition
Languages
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Authors (2):
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Jeff Vestal Jeff Vestal
Author Profile Icon Jeff Vestal
Jeff Vestal
Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1:Fundamentals of Vector Search
2. Chapter 1: Introduction to Vectors and Embeddings FREE CHAPTER 3. Chapter 2: Getting Started with Vector Search in Elastic 4. Part 2: Advanced Applications and Performance Optimization
5. Chapter 3: Model Management and Vector Considerations in Elastic 6. Chapter 4: Performance Tuning – Working with Data 7. Part 3: Specialized Use Cases
8. Chapter 5: Image Search 9. Chapter 6: Redacting Personal Identifiable Information Using Elasticsearch 10. Chapter 7: Next Generation of Observability Powered by Vectors 11. Chapter 8: The Power of Vectors and Embedding in Bolstering Cybersecurity 12. Part 4: Innovative Integrations and Future Directions
13. Chapter 9: Retrieval Augmented Generation with Elastic 14. Chapter 10: Building an Elastic Plugin for ChatGPT 15. Index 16. Other Books You May Enjoy

Search experience in Elastic before vectors

Before the introduction of vector search in Elastic, the primary relevancy model was based on text search and analysis capabilities. Elasticsearch provides various data types (https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html) and analyzers (https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-analyzers.html) to provide efficient search. In this part, we will level-set and make sure we all have an understanding of what the “before state” looks like.

Data type and its impact on relevancy

There are various data types in Elasticsearch, but for the purpose of this part, it wouldn’t be useful to go through them one by one. Instead, we will divide them into two categories: the type that directly drives the relevancy ranking and the types that indirectly influence the ranking. The goal is to understand how they are related to relevancy models.

The first type that...

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