Salesforce connector V1.0
Salesforce is a customer relationship management (CRM) tool for managing support,
sales, and marketing teams. You can use Amazon Kendra to index your Salesforce
standard objects and even custom objects.
Amazon Kendra uses the Salesforce API version 48. The Salesforce API
limits the number of requests that you can make per day. If Salesforce exceeds those
requests, it retries until it is able to continue.
Salesforce connector V1.0 / SalesforceConfiguration API ended in 2023. We recommend
migrating to or using Salesforce connector V2.0 / TemplateConfiguration API.
For troubleshooting your Amazon Kendra Salesforce data source connector, see Troubleshooting data sources.
Supported features
Amazon Kendra Salesforce data source connector supports the following
features:
Prerequisites
Before you can use Amazon Kendra to index your Salesforce data source, make
these changes in your Salesforce and AWS accounts.
In Salesforce, make sure you have:
-
Created a Salesforce account and have noted the user name and password you use to
connect to Salesforce.
-
Created a Salesforce Connected App account with OAuth activated and have copied
the consumer key (client ID) and consumer secret (client secret) assigned to your
Salesforce Connected App. The client ID and client secret are used as your
authentication credentials stored in an AWS Secrets Manager secret. See Salesforce documentation on Connected Apps for more information.
We recommend that you regularly refresh or rotate your credentials
and secret. Provide only the necessary access level for your own security.
We do not recommend that you re-use
credentials and secrets across data sources, and connector versions 1.0 and
2.0 (where applicable).
-
Copied the Salesforce security token associated with the account used to connect
to Salesforce.
-
Copied the URL of the Salesforce instance that you want to index. Typically, this
is https://<company>.salesforce.com/
. The server must be
running a Salesforce connected app.
-
Added credentials to your Salesforce server for a user with read-only access to
Salesforce by cloning the ReadOnly profile and then adding the View All Data and
Manage Articles permissions. These credentials identify the user making the connection and the
Salesforce connected app that Amazon Kendra connects to.
-
Checked each document is unique in Salesforce and across other
data sources you plan to use for the same index. Each data source that you
want to use for an index must not contain the same document across the data
sources. Document IDs are global to an index and must be unique per index.
In your AWS account, make sure you
have:
-
Created
an Amazon Kendra index and, if using the API, noted the index
ID.
-
Created an IAM role for your data source and, if
using the API, noted the ARN of the IAM role.
If you change your authentication type and credentials, you must
update your IAM role to access the correct AWS Secrets Manager secret ID.
-
Stored your Salesforce authentication credentials in an
AWS Secrets Manager secret and, if using the API, noted the ARN of the
secret.
We recommend that you regularly refresh or rotate your credentials
and secret. Provide only the necessary access level for your own security.
We do not recommend that you re-use
credentials and secrets across data sources, and connector versions 1.0 and
2.0 (where applicable).
If you don’t have an existing IAM role or secret, you can use the
console to create a new IAM role and Secrets Manager secret when you
connect your Salesforce data source to Amazon Kendra. If you are using the
API, you must provide the ARN of an existing IAM role and Secrets Manager secret, and an index ID.
Connection instructions
To connect Amazon Kendra to your Salesforce data source, you must provide the
necessary details of your Salesforce data source so that Amazon Kendra can access
your data. If you have not yet configured Salesforce for Amazon Kendra see Prerequisites.
- Console
-
To connect Amazon Kendra to Salesforce
-
Sign in to the AWS Management Console and open the Amazon Kendra console.
-
From the left navigation pane, choose Indexes and then choose
the index you want to use from the list of indexes.
You can choose to configure or edit your User access control
settings under Index settings.
-
On the Getting started page, choose Add data
source.
-
On the Add data source page, choose Salesforce
connector V1.0, and then choose Add connector.
-
On the Specify data source details page, enter the following
information:
-
Data source name—Enter a name for your data source. You
can include hyphens but not spaces.
-
(Optional) Description—Enter an optional description
for your data source.
-
Default language— A language to filter your documents
for the index. Unless you specify otherwise, the language defaults to English. Language
specified in metadata overrides selected language.
-
Add new tag—Tags to search and filter your resources or
track your shared costs.
-
Choose Next.
-
On the Define access and security page, enter the following
information:
-
Salesforce URL—Enter the instance URL for the
Salesforce site that you want to index.
-
For Type of authentication, choose between
Existing and New to store your
Salesforce authentication credentials. If you choose to create a new secret an
AWS
Secrets Manager secret window opens.
-
Enter following information in the Create an AWS
Secrets Manager secret window:
-
Secret name—A name for your secret. The prefix
‘AmazonKendra-Salesforce-’ is automatically added to your secret
name.
-
For User name, Password,
Security token, Consumer key,
Consumer secret, and Authentication
URL—Enter the authentication credential values you created in your
Salesforce account.
-
Choose Save authentication.
-
IAM role—Choose an existing IAM
role or create a new IAM role to access your repository credentials and index content.
IAM roles used for indexes cannot be used for data sources. If you are unsure
if an existing role is used for an index or FAQ, choose Create a new role to avoid
errors.
-
Choose Next.
-
On the Configure sync settings page, enter the following
information:
-
For Crawl attachments—Select to crawl all attached
objects, articles, and feeds.
-
For Standard objects, Knowledge articles,
and Chatter feeds—Select Salesforce entities or
content types you want to crawl.
You must provide configuration information for indexing at least one of standard
objects, knowledge articles, or chatter feeds. If you choose to crawl
Knowledge articles you must specify the types of knowledge
articles to index, the name of the articles, and whether to index the standard fields
of all knowledge articles or only the fields of a custom article type. If you choose to
index custom articles, you must specify the internal name of the article type. You can
specify upto 10 article types.
-
Frequency—How often Amazon Kendra will sync with
your data source.
-
Choose Next.
-
On the Set field mappings page, enter the following
information:
-
For Standard knowledge article, Standard object
attachments, and Additional suggested field mappings
—Select from the Amazon Kendra generated default data source fields you want
to map to your index.
An index mapping to _document_body
is required. You can't change the
mapping between the Salesforce ID
field and the Amazon Kendra
_document_id
field.
-
Add field—To add custom data source fields to create an
index field name to map to and the field data type.
-
Choose Next.
-
On the Review and create page, check that
the information you have entered is correct and then select
Add data source. You can also choose to edit your information from this page.
Your data source will appear on the Data sources page after the data source has been
added successfully.
- API
-
To connect Amazon Kendra to
Salesforce
You must specify the following the SalesforceConfiguration API:
-
Server URL—The instance URL for the
Salesforce site that you want to index.
-
Secret Amazon Resource Name
(ARN)—Provide the Amazon Resource
Name (ARN) of an Secrets Manager secret that contains the
authentication credentials for your Salesforce account.
The secret is stored in a JSON structure with the following keys:
{
"authenticationUrl": "OAUTH endpoint that Amazon Kendra connects to get an OAUTH token
",
"consumerKey": "Application public key generated when you created your Salesforce application
",
"consumerSecret": "Application private key generated when you created your Salesforce application.
",
"password": "Password associated with the user logging in to the Salesforce instance
",
"securityToken": "Token associated with the user account logging in to the Salesforce instance
",
"username": "User name of the user logging in to the Salesforce instance
"
}
-
IAM role—Specify RoleArn
when you call CreateDataSource
to provide an IAM role with permissions to access
your Secrets Manager secret and to call the required public
APIs for the Salesforce connector and Amazon Kendra.
For more information, see IAM roles for Salesforce
data sources.
-
You must provide configuration information for indexing at least one of standard
objects, knowledge articles, or chatter feeds.
-
Standard objects—If you choose to crawl
Standard objects, you must specify the name of the standard object
and the name of the field in the standard object table that contains the document
contents.
-
Knowledge articles—If you choose to crawl
Knowledge articles, you must specify the types of knowledge
articles to index, the states of the knowledge articles to index, and whether to index
the standard fields of all knowledge articles or only the fields of a custom article
type.
-
Chatter feeds—If you choose to crawl
Chatter feeds, you must specify the name of the column in the
Salesforce FeedItem table that contains the content to index.
You can also add the following optional features:
-
Inclusion and exclusion filters—Specify whether to
include or exclude certain file attachments.
Most data sources use regular expression patterns,
which are inclusion or exclusion patterns referred to as filters.
If you specify an inclusion filter, only content that
matches the inclusion filter is indexed. Any document that
doesn’t match the inclusion filter isn’t indexed. If you
specify an inclusion and exclusion filter, documents that
match the exclusion filter are not indexed, even if they
match the inclusion filter.
-
Field mappings—Choose to map your Salesforce
data source fields to your
Amazon Kendra index fields. For more information, see
Mapping data
source fields.
The document body field or the document body equivalent for your documents is required
in order for Amazon Kendra to search your documents. You must map your document body
field name in your data source to the index field name _document_body
. All other
fields are optional.
-
User context filtering and access control—Amazon Kendra
crawls the access control list (ACL) for your documents,
if you have an ACL for your documents. The ACL
information is used to filter search results based on the user or their
group access to documents. For more information, see User context
filtering.