The text explores the challenges and solutions for indexing and searching multi-language documents, particularly in Chinese, Japanese, and Korean, using Elasticsearch 6.2. It discusses the limitations of using a single field with a standard analyzer, which is not effective for languages with postpositions like Korean, and highlights the utility of multi-fields with language-specific analyzers like kuromoji for Japanese, smartcn for Chinese, and openkoreantext-analyzer for Korean. By implementing multi-fields, each sub-field can be analyzed by a dedicated language-specific analyzer, improving search accuracy across different languages. The document also mentions the potential use of a language detector to further enhance search capabilities in a multi-lingual context, which is to be covered in the subsequent part of the series.