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Aurora (PostgreSQL) data source connector field mappings

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Aurora (PostgreSQL) data source connector field mappings - Amazon Q Business
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To improve retrieved results and customize the end user chat experience, Amazon Q enables you to map document attributes from your data sources to fields in your Amazon Q index.

Amazon Q offers two kinds of attributes to map to index fields:

  • Reserved or default – Reserved attributes are based on document attributes that commonly occur in most data. You can use reserved attributes to map commonly occurring document attributes in your data source to Amazon Q index fields.

  • Custom – You can create custom attributes to map document attributes that are unique to your data to Amazon Q index fields.

When you connect Amazon Q to a data source, Amazon Q automatically maps specific data source document attributes to fields within an Amazon Q index. If a document attribute in your data source doesn't have a attribute mapping already available, or if you want to map additional document attributes to index fields, use the custom field mappings to specify how a data source attribute maps to an Amazon Q index field. You create field mappings by editing your data source after your application and retriever are created.

To learn more about document attributes and how they work in Amazon Q, see Document attributes and types in Amazon Q.

Important

Filtering using document attributes in chat is only supported through the API.

The Amazon Q PostgreSQL connector supports the following field mappings:

Supported field mappings

Document

JDBC field name Index field name Description Data type
jd_document_id jd_document_id Custom String
jd_document_title jd_document_title Custom String
jd_source_uri _source_uri Default String

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