概述
搜索索引构建工作流是一个中级难度的工作流。用 Elasticsearch 或 Meilisearch 构建全文搜索索引，包含映射、分析器和相关性调优。该工作流的目标是：Create a searchable index of application data with good relevance for user queries.
环境准备
执行本工作流需要以下环境：A search engine；Source data to index；A search relevance test set。请确保在开始前准备好所有必需的工具和资源，以避免中途因环境问题中断。
执行步骤
本工作流包含5个步骤。步骤1：Define mapping——Create an index mapping with appropriate field types and analyzers. 步骤2：Import data——Bulk import source data into the search index. 步骤3：Configure analyzers——Set up language analyzers, stemming, and stop word removal for the text fields. 步骤4：Tune relevance——Adjust field weights, boosting, and fuzziness to improve search results. 步骤5：Test search quality——Run the test set queries and compare results against expected matches.
验证与清理
预期结果：A search index is built with proper mapping and analyzers, and search quality is verified against a test set.。验证方法：Run test queries and confirm the top results match expected documents; measure search latency.。清理操作：Delete the index if testing is complete and it is not needed for production.。estimatedMinutes 为 75 分钟。
代码示例
# Execute the workflow steps as documented above
echo "Workflow completed successfully"