Book description
With the introduction of Ferret, Ruby users now have one of the fastest and most flexible search libraries available. And it's surprisingly easy to use.
This book will show you how to quickly get up and running with Ferret. You'll learn how to index different document types such as PDF, Microsoft Word, and HTML, as well as how to deal with foreign languages and different character encodings. Ferret describes the Ferret Query Language in detail along with the object-oriented approach to building queries.
You will also be introduced to sorting, filtering, and highlighting your search results, with an explanation of exactly how you need to set up your index to perform these tasks. You will also learn how to optimize a Ferret index for lightning fast indexing and split-second query results.
Publisher resources
Table of contents
-
Ferret
- SPECIAL OFFER: Upgrade this ebook with OâReilly
- Preface
- 1. Getting Started
- 2. Indexing
- 3. Advanced Indexing
- 4. Search
- 5. Analysis
- 6. Ferret in Practice
- Index
- About the Author
- Colophon
- SPECIAL OFFER: Upgrade this ebook with OâReilly
Product information
- Title: Ferret
- Author(s):
- Release date: March 2008
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9780596554712
You might also like
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to …
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Generative Deep Learning, 2nd Edition
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and …