A powerful Java library that provides intelligent search suggestion functionality built on top of OpenSearch/Elasticsearch. It offers auto-completion, query suggestions, and popular word analytics for search applications.

## Key Features

- **Smart Query Suggestions**: Real-time auto-completion and search suggestions
- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer

              if (console && console.error) {
                console.error("Suggestion request failed:", status, error);
              }
              suggestor.hideSuggestionBox();
              suggestingSts = false;
            });
        },

        /**
         * Hide suggestion box and update ARIA attributes
         */
        hideSuggestionBox: function () {

# CLAUDE.md - Fess Suggest Project Guide

> AI assistant guidance for the Fess Suggest project - a Java library providing intelligent search suggestions built on OpenSearch.

## Project Overview

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)

 *   <li>{@link #getAllWordsNum()}: Returns the total number of words in the suggestion index.</li>
 *   <li>{@link #getDocumentWordsNum()}: Returns the number of document words in the suggestion index.</li>
 *   <li>{@link #getQueryWordsNum()}: Returns the number of query words in the suggestion index.</li>
 * </ul>
 *
 * <p>Protected Methods:
 * <ul>

Instead of adding suggestions to the translation PR, make the suggestions to the LLM prompt file for that language, in a new PR. For example, for Spanish, the LLM prompt file is at: [`docs/es/llm-prompt.md`](https://github.com/fastapi/fastapi/blob/master/docs/es/llm-prompt.md).

    /**
     * The CRUD mode for form processing (create, update, delete operations).
     */
    @ValidateTypeFailure
    public Integer crudMode;

    /**
     * The bad word to be filtered from search suggestions.
     */
    @Required
    @Pattern(regexp = "[^\\s]+")
    public String suggestWord;

    /**
     * The username of the user who created this bad word entry.
     */
    @Size(max = 1000)

        this.normalizer = normalizer;
        this.languages = languages;
        this.prefixMatchWeight = prefixMatchWeight;
    }

    /**
     * Builds the query for suggestions.
     * @param q The query string.
     * @param fields The fields to search in.
     * @return The QueryBuilder instance.
     */
    public QueryBuilder buildQuery(final String q, final List<String> fields) {

 *       </ul>
 *   </li>
 * </ul>
 *
 * <p>Fields:
 * <ul>
 *   <li>{@link #client}: The client used to perform analysis.</li>
 *   <li>{@link #settings}: The settings for suggestions.</li>
 *   <li>{@link #analyzerSettings}: The settings for the analyzer.</li>
 *   <li>{@link #transliterator}: The transliterator used to convert between Hiragana and Katakana.</li>
 * </ul>
 */

import com.google.common.cache.Cache;
import com.google.common.cache.CacheBuilder;

import jakarta.annotation.PostConstruct;

/**
 * Helper class for managing popular words and suggestions.
 * Provides functionality to retrieve popular words based on search parameters
 * and manages caching for improved performance.
 */
public class PopularWordHelper {
    /** Logger instance for this class */

    line-height: 1.6;
}

.empty-state-suggestions {
    width: 100%;
    max-width: 500px;
}

.suggestions-label {
    font-size: 0.8125rem;
    color: #6b778c;
    margin-bottom: 0.75rem;
    font-weight: 500;
}

.suggestion-chips {
    display: flex;
    flex-wrap: wrap;
    gap: 0.5rem;
    justify-content: center;
}

.suggestion-chip {
    padding: 0.5rem 1rem;