3. Creates language-specific fields (e.g., `content_ja`, `title_en`, `content_sv`)
4. Applies language-specific analyzers for better search results

Configured in `fess_config.properties`:
```properties
indexer.language.fields=content,important_content,title
```

## Optional: Search Analysis Support

If your language requires special text analysis (stemming, stop words, etc.), you may need to configure OpenSearch analyzers.

     * @return the relevant document IDs
     */
    public List<String> getRelevantDocIds() {
        return relevantDocIds;
    }

    /**
     * Returns the list of relevant indexes (1-based) from search results.
     *
     * @return the relevant indexes
     */
    public List<Integer> getRelevantIndexes() {
        return relevantIndexes;
    }

    /**
     * Returns whether relevant results were found.
     *

        List<String> docIds = Arrays.asList("doc1", "doc2", "doc3");
        List<Integer> indexes = Arrays.asList(1, 2, 3);
        RelevanceEvaluationResult result = RelevanceEvaluationResult.withRelevantDocs(docIds, indexes);

        assertTrue(result.isHasRelevantResults());
        assertEquals(docIds, result.getRelevantDocIds());
        assertEquals(indexes, result.getRelevantIndexes());
    }

    @Test

     * Stores a document in the search index with the specified parameters and data.
     *
     * @param paramMap the data store parameters containing configuration and metadata
     * @param dataMap the document data to be indexed as key-value pairs
     */
    void store(DataStoreParams paramMap, Map<String, Object> dataMap);

    /**
     * Returns the total number of documents processed by this callback.
     *

    }

    /**
     * Processes the result data through all available ingesters.
     * Each ingester can transform and enrich the data before it is indexed.
     *
     * @param responseData the response data from the crawled resource
     * @param resultData the result data to be processed
     * @return the processed result data after all ingesters have been applied
     */

/**
 * Executable class for generating thumbnails for indexed documents.
 * This class provides a command-line interface for thumbnail generation tasks.
 */
public class ThumbnailGenerator {

    private static final Logger logger = LogManager.getLogger(ThumbnailGenerator.class);

    /**
     * OpenSearch client for accessing indexed documents.
     */
    @Resource

map:{
    # base package of generated classes
    ; basePackage = org.codelibs.fess.opensearch

    # base path to JSON resource, URL or relative path
    ; basePath = ../src/main/config/es

    # settings for indexes
    ; indexMap = map:{
        # Index: fess_user
        ; fess_user.group = map:{
            ; package = user
            ; esclientDiFile = esclient.xml
            ; esfluteDiFile = esflute_user.xml
        }

# CLAUDE.md

This file provides guidance to Claude Code when working with this repository.

## Project Overview

Fess is an Enterprise Search Server built on OpenSearch. It's a Java-based web application that crawls and indexes documents from various sources and provides full-text search capabilities. Licensed under Apache License 2.0.

**Key Capabilities:**
- Full-text search with OpenSearch backend
- Web, file system, and data store crawling

 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *
 * <p>The processor maintains a map of query commands indexed by query class names
 * and a list of filters that are applied in order during query processing.</p>
 */
public class QueryProcessor {

    /**
     * Default constructor.
     */
    public QueryProcessor() {

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