Amazon Q BusinessSlack data source connector field mappings

To improve retrieved results and customize the end user chat experience, Amazon Q Business 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 Slack connector supports the following field mappings:

Slack field name	Index field name	Description	Data type
size	sl_gen_size	Custom	Long (numeric)
emojis	sl_gen_emojis	Custom	String list
title	al_gen_title	Custom	String
authors	al_gen_authors	Custom	String list
url	sl_gen_url	Custom	String
category	sl_gen_category	Custom	String
created_at	sl_gen_created_at	Custom	Date
last_updated_at	sl_gen_last_updated_at	Custom	String
msg_channel_id	sl_message_channel_id	Custom	String
msg_channel_name	sl_msg_channel_name	Custom	String