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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

Overview of PII and redaction

PII refers to any data that can be used to identify an individual, either directly or indirectly, when combined with other information. PII includes data such as names, addresses, phone numbers, email addresses, Social Security numbers, driver’s license numbers, and credit card numbers. It is critical to protect PII due to privacy concerns, as well as legal and regulatory requirements that dictate how companies should manage and secure such data.

Redaction, in the context of data privacy, is the process of removing or obscuring sensitive information from documents, logs, and other data sources, so the remaining data can be shared or analyzed without exposing the PII. This involves techniques such as masking, pseudonymization, or encryption, depending on the context and requirements. The goal of redaction is to strike a balance between preserving the utility of the data and maintaining the privacy of the individuals involved.

Types of data...

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