Using metadata fields within Vectara can enhance search capabilities by providing context to indexed content. There are several techniques for using metadata, including query filtering, boosting, and results enrichment. Query filtering allows users to narrow down search results based on specific criteria, such as geographic area or timestamp. Boosting increases the confidence score of a result based on attributes associated with the text. Results enrichment displays additional information with search results to make them more engaging. Vectara provides three categories of metadata fields: automatic metadata, custom metadata, and pass-through metadata. Users can specify filterable metadata fields when creating a corpus and indexing content, and then use these fields in query filtering and boosting. By effectively using metadata fields, users can improve the relevance and engagement of their search results.