Jul 15, 2025 · Jul 15, 2025 · Jul 15, 2025
diff --git a/docs/guides/configuration-overview.md b/docs/guides/configuration-overview.md

 The [Initial configuration guide](/guides/initial-configuration) tours you through several settings that we
 recommend that you review after you set up CodeRabbit with your organization.

 ## Learnings {#learnings}

 As a complement to the configuration methods listed above, CodeRabbit keeps an internal database with _learnings_ that it collects about your team's code review preferences, based on your interactions with CodeRabbit over time. CodeRabbit learnings let you fine-tune the ways that CodeRabbit conducts its code reviews in ways that are highly specific to your repositories, and your team's coding own styles.

 For more information, see [Teach CodeRabbit your review preferences](/guides/learnings).

 ## What's next {#whats-next}

 - [Initial configuration guide](/guides/initial-configuration)
diff --git a/docs/guides/initial-configuration.md b/docs/guides/initial-configuration.md

 ### Configure learnings {#learnings}

 CodeRabbit learns your team's review preferences by letting you [teach it your preferences in plain language during code reviews](/integrations/knowledge-base#learnings). CodeRabbit remembers these preferences, and applies them to subsequent code reviews in the same repository.
 CodeRabbit learns your team's review preferences by letting you [teach it your preferences in plain language during code reviews](/guides/learnings). CodeRabbit remembers these preferences, and applies them to subsequent code reviews in the same repository.

 This setting lets you set the scope of which stored learnings that CodeRabbit should apply to its code reviews. For more information, see [Learnings](/reference/configuration#learnings) in the configuration reference.

diff --git a/docs/guides/learnings.md b/docs/guides/learnings.md
 ---
 title: Teach CodeRabbit your review preferences
 description: An overview of the CodeRabbit learnings feature.
 ---

 This page describes how you can configure the code-review behavior of CodeRabbit using natural-language
 chat.

 For a conceptual overview of CodeRabbit configuration methods, see [Configure CodeRabbit](/guides/configuration-overview). For more information about performing code reviews with CodeRabbit, see
 [Review pull requests](/guides/code-review-overview).

 ## About CodeRabbit learnings {#about}

 As your team works with CodeRabbit, it learns your team's code-review
 preferences based on chat interactions, and adds these preferences
 to an internal database that it associates with your Git platform organization. We call these internal records _learnings_.

 <div class="video-container">
  <iframe src="https://www.youtube.com/embed/Yu0cmmOYA-U?si=WIeOxqPw4ZFFgvlw" title="YouTube video player" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerPolicy="strict-origin-when-cross-origin" allowFullScreen></iframe>
 </div>

 CodeRabbit learnings are flexible, natural-language statements about code-review preferences whose purpose can include the following:

 - Special instructions about reviewing particular files.
 - Guidance for reviewing all of the files of one repository.
 - Code-review preferences that CodeRabbit must apply across all of your organization's repositories.

 Every time CodeRabbit prepares to add a comment to a pull request or issue, it loads all of the learnings that it has collected about your organization's code review preferences. CodeRabbit applies these learnings as additional context or instructions for its comment.

 CodeRabbit learnings complement the more traditional configuration that you set for your organization and its repositories using the CodeRabbit web interface or [`.coderabbit.yaml` files](/getting-started/configure-coderabbit). Learnings give you a convenient way to quickly set or correct the behavior of CodeRabbit in ways that are highly specific to your team's coding style, or in ways that the CodeRabbit configuration options don't otherwise account for.

 You can review and edit your organization's CodeRabbit learnings at any time, as detailed later in this page.

 ## Add learnings {#add}

 To add learnings to the database CodeRabbit keeps about your organization's preferences, communicate
 your preferences directly to the appropriate CodeRabbit service account using natural language, in a comment attached to any pull request or issue. For more information about chatting with CodeRabbit using comments, see [CodeRabbit chat](/guides/agent_chat/).

 If CodeRabbit decides to create one or more learnings based on a comment, then it makes this explicit in its response to that comment by adding a collapsible section titled **Learnings Added** to its own response comment.

 ### An example of adding a learning {#example}

 Imagine a scenario where CodeRabbit has reviewed a GitHub-based pull request from your team that adds a feature to an authentication middleware library. CodeRabbit has flagged a certain file as needing improvement, attaching this comment to the relevant lines in its review:

 > Consider using nested try-catch blocks here to handle different error scenarios more comprehensively.

 If this critique disagrees with your team's coding practices specific to try-catch blocks, then you can reply to this CodeRabbit using a comment of your own, addressed to the `@coderabbitai` service account on GitHub:

 > @coderabbitai Actually, we've found that nested try-catch blocks make our auth middleware harder to debug in production. We prefer early returns with specific error codes - it's cleaner and our monitoring tools can track them better.

 CodeRabbit considers your reply, and decides to make a learning out of it. It acknowledges this in another reply:

 > You're absolutely right about the debugging benefits. Early returns with specific error codes do provide better clarity and monitoring capabilities. I'll remember this preference for your authentication middleware. Thank you for the guidance!

 CodeRabbit also adds a **Learnings added** section to this comment, making explicit the fact that this chat has modified its future behavior with your team.

 CodeRabbit then creates a new learnings record for itself. Along with metadata such as the pull request number, filename, and GitHub user associated with the learning, CodeRabbit adds this self-instructive text to the new record:

 > In authentication middleware, prefer returning early with specific error codes rather than nested try-catch blocks. This improves readability and makes error tracking easier in production environments.

 ### Best practices for new learnings {#best-practices}

 When communicating with CodeRabbit during an active code review, you can help make any resulting learnings more specific by replying directly to review comments that CodeRabbit has left on specific files, rather than leaving comments on the overall pull request. This gives CodeRabbit more context when considering feedback, allowing it to create more specific learnings.

 ## View learnings {#view}

 To view the learnings that CodeRabbit has associated with your organization,
 follow these steps:

 1. Visit [the CodeRabbit web interface](https://app.coderabbit.ai/settings/repositories).

 1. In the sidebar, click **Learnings**.

 This displays a paged list of all of the learnings associated with your organization, sorted by creation time, newest-first. To see more details about any learnings record, click its text.

 ### Filter displayed learnings {#filter}

 Over time, the learnings that CodeRabbit gathers for your organization can become quite numerous. This can make manually browsing the full list difficult. The CodeRabbit web interface has search and filtering tools to help you find specific learnings, based on the topic of the learning text, or on other metadata.

 To filter the displayed learnings by topic or concept, enter that topic or concept into the **Similarity search** field, and set **Top K** to the number of results you want returned. Because this is a vector-based similarity search, the returned learnings don't necessarily contain the exact text of your search terms.

 For example, to see the top ten learnings that have to do with error reporting, enter `error reporting` into **Similarity search** and set **Top K** to `10`.

 To filter the displayed learnings by repository, user, or file path, click **+ Filters**, and select additional criteria.

 ### Edit or delete learnings {#edit}

 If your account has the **Admin** [CodeRabbit role](/guides/roles) with your organization, then you can freely edit the text of any stored learning, or delete it outright.

 To edit or delete a learning, follow these steps:

 1. Click the **Action** menu on the learning record, which resembles three dots.

 1. Select **Edit** or **Delete**.

 ## Configure learnings storage and application {#configure}

 CodeRabbit has several configuration options that modify the storage and application of learnings.

 ### Opt out of learnings storage {#opt-out}

 CodeRabbit enables learnings by default. To disable learnings, modify one of the following configuration options:

 - To disable all CodeRabbit [knowledge base](/integrations/knowledge-base) features for your organization or repository, which includes learnings, enable [the _Opt out_ setting](/reference/configuration#opt-out).

 - To disable all CodeRabbit features that require long-term data retention about your organization's use of CodeRabbit—including learnings—disable [the _Data retention_ setting](/reference/configuration#data-retention).

 :::warning
 Disabling data retention immediately and irrevocably deletes all learnings that CodeRabbit has associated with your organization.
 :::

 ### Specify the scope of applied learnings {#scope}

 [The Learnings configuration setting](/reference/configuration#learnings) lets you specify the _scope_ that CodeRabbit applies to all
 of the learnings it has collected about your organization. You can set this option to one of the
 following values:

 - **`auto`**: When reviewing a public repository, CodeRabbit applies only the learnings specific to that repository. When reviewing private repository, CodeRabbit applies all of your organization's learnings. This is the default setting.
 - **`global`**: CodeRabbit applies all of your organization's learnings to all code reviews.
 - **`local`**: CodeRabbit applies only learnings associated with code reviews' respective repositories.

 ## What's next {#whats-next}

 - [Add review instructions](/guides/review-instructions)
diff --git a/docs/integrations/knowledge-base.md b/docs/integrations/knowledge-base.md
 ---
 title:Apply your code review preferences
 title:Knowledge base overview
 description: Learn about CodeRabbit's internal knowledge base and its integrations with external services.
 ---


 Or you can comment directly on some lines of code in the PR. `@coderabbitai do not complain about lack of error handling here, it is handled higher up the execution stack.`

 :::tip Video Tutorial

 Watch our [video walkthrough on learnings](https://www.youtube.com/watch?v=Yu0cmmOYA-U) for more information.

 :::
 For more information, see [Teach CodeRabbit your review preferences](/guides/learnings).

 ## Code Guidelines {#code_guidelines}

diff --git a/sidebars.ts b/sidebars.ts
 "getting-started/configure-coderabbit",
 "guides/initial-configuration",
 "integrations/knowledge-base",
 "guides/learnings",
 "guides/review-instructions",
 "tools/tools",
 "guides/roles",
Original file line number	Diff line number	Diff line change
Expand Up		@@ -72,3 +72,13 @@ This means that configuration is not merged or inherited - the highest priority

		The [Initial configuration guide](/guides/initial-configuration) tours you through several settings that we
		recommend that you review after you set up CodeRabbit with your organization.

		## Learnings {#learnings}

		As a complement to the configuration methods listed above, CodeRabbit keeps an internal database with _learnings_ that it collects about your team's code review preferences, based on your interactions with CodeRabbit over time. CodeRabbit learnings let you fine-tune the ways that CodeRabbit conducts its code reviews in ways that are highly specific to your repositories, and your team's coding own styles.

		For more information, see [Teach CodeRabbit your review preferences](/guides/learnings).

		## What's next {#whats-next}

		- [Initial configuration guide](/guides/initial-configuration)
Original file line number	Diff line number	Diff line change
Expand Up		@@ -57,7 +57,7 @@ For more information, see

		### Configure learnings {#learnings}

		CodeRabbit learns your team's review preferences by letting you [teach it your preferences in plain language during code reviews](/integrations/knowledge-base#learnings). CodeRabbit remembers these preferences, and applies them to subsequent code reviews in the same repository.
		CodeRabbit learns your team's review preferences by letting you [teach it your preferences in plain language during code reviews](/guides/learnings). CodeRabbit remembers these preferences, and applies them to subsequent code reviews in the same repository.

		This setting lets you set the scope of which stored learnings that CodeRabbit should apply to its code reviews. For more information, see [Learnings](/reference/configuration#learnings) in the configuration reference.

Expand Down
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,124 @@
		---
		title: Teach CodeRabbit your review preferences
		description: An overview of the CodeRabbit learnings feature.
		---

		This page describes how you can configure the code-review behavior of CodeRabbit using natural-language
		chat.

		For a conceptual overview of CodeRabbit configuration methods, see [Configure CodeRabbit](/guides/configuration-overview). For more information about performing code reviews with CodeRabbit, see
		[Review pull requests](/guides/code-review-overview).

		## About CodeRabbit learnings {#about}

		As your team works with CodeRabbit, it learns your team's code-review
		preferences based on chat interactions, and adds these preferences
		to an internal database that it associates with your Git platform organization. We call these internal records _learnings_.

		<div class="video-container">
		<iframe src="https://www.youtube.com/embed/Yu0cmmOYA-U?si=WIeOxqPw4ZFFgvlw" title="YouTube video player" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerPolicy="strict-origin-when-cross-origin" allowFullScreen></iframe>
		</div>

		CodeRabbit learnings are flexible, natural-language statements about code-review preferences whose purpose can include the following:

		- Special instructions about reviewing particular files.
		- Guidance for reviewing all of the files of one repository.
		- Code-review preferences that CodeRabbit must apply across all of your organization's repositories.

		Every time CodeRabbit prepares to add a comment to a pull request or issue, it loads all of the learnings that it has collected about your organization's code review preferences. CodeRabbit applies these learnings as additional context or instructions for its comment.

		CodeRabbit learnings complement the more traditional configuration that you set for your organization and its repositories using the CodeRabbit web interface or [`.coderabbit.yaml` files](/getting-started/configure-coderabbit). Learnings give you a convenient way to quickly set or correct the behavior of CodeRabbit in ways that are highly specific to your team's coding style, or in ways that the CodeRabbit configuration options don't otherwise account for.

		You can review and edit your organization's CodeRabbit learnings at any time, as detailed later in this page.

		## Add learnings {#add}

		To add learnings to the database CodeRabbit keeps about your organization's preferences, communicate
		your preferences directly to the appropriate CodeRabbit service account using natural language, in a comment attached to any pull request or issue. For more information about chatting with CodeRabbit using comments, see [CodeRabbit chat](/guides/agent_chat/).

		If CodeRabbit decides to create one or more learnings based on a comment, then it makes this explicit in its response to that comment by adding a collapsible section titled Learnings Added to its own response comment.

		### An example of adding a learning {#example}

		Imagine a scenario where CodeRabbit has reviewed a GitHub-based pull request from your team that adds a feature to an authentication middleware library. CodeRabbit has flagged a certain file as needing improvement, attaching this comment to the relevant lines in its review:

		> Consider using nested try-catch blocks here to handle different error scenarios more comprehensively.

		If this critique disagrees with your team's coding practices specific to try-catch blocks, then you can reply to this CodeRabbit using a comment of your own, addressed to the `@coderabbitai` service account on GitHub:

		> @coderabbitai Actually, we've found that nested try-catch blocks make our auth middleware harder to debug in production. We prefer early returns with specific error codes - it's cleaner and our monitoring tools can track them better.

		CodeRabbit considers your reply, and decides to make a learning out of it. It acknowledges this in another reply:

		> You're absolutely right about the debugging benefits. Early returns with specific error codes do provide better clarity and monitoring capabilities. I'll remember this preference for your authentication middleware. Thank you for the guidance!

		CodeRabbit also adds a Learnings added section to this comment, making explicit the fact that this chat has modified its future behavior with your team.

		CodeRabbit then creates a new learnings record for itself. Along with metadata such as the pull request number, filename, and GitHub user associated with the learning, CodeRabbit adds this self-instructive text to the new record:

		> In authentication middleware, prefer returning early with specific error codes rather than nested try-catch blocks. This improves readability and makes error tracking easier in production environments.

		### Best practices for new learnings {#best-practices}

		When communicating with CodeRabbit during an active code review, you can help make any resulting learnings more specific by replying directly to review comments that CodeRabbit has left on specific files, rather than leaving comments on the overall pull request. This gives CodeRabbit more context when considering feedback, allowing it to create more specific learnings.

		## View learnings {#view}

		To view the learnings that CodeRabbit has associated with your organization,
		follow these steps:

		1. Visit [the CodeRabbit web interface](https://app.coderabbit.ai/settings/repositories).

		1. In the sidebar, click Learnings.

		This displays a paged list of all of the learnings associated with your organization, sorted by creation time, newest-first. To see more details about any learnings record, click its text.

		### Filter displayed learnings {#filter}

		Over time, the learnings that CodeRabbit gathers for your organization can become quite numerous. This can make manually browsing the full list difficult. The CodeRabbit web interface has search and filtering tools to help you find specific learnings, based on the topic of the learning text, or on other metadata.

		To filter the displayed learnings by topic or concept, enter that topic or concept into the Similarity search field, and set Top K to the number of results you want returned. Because this is a vector-based similarity search, the returned learnings don't necessarily contain the exact text of your search terms.

		For example, to see the top ten learnings that have to do with error reporting, enter `error reporting` into Similarity search and set Top K to `10`.

		To filter the displayed learnings by repository, user, or file path, click + Filters, and select additional criteria.

		### Edit or delete learnings {#edit}

		If your account has the Admin [CodeRabbit role](/guides/roles) with your organization, then you can freely edit the text of any stored learning, or delete it outright.

		To edit or delete a learning, follow these steps:

		1. Click the Action menu on the learning record, which resembles three dots.

		1. Select Edit or Delete.

		## Configure learnings storage and application {#configure}

		CodeRabbit has several configuration options that modify the storage and application of learnings.

		### Opt out of learnings storage {#opt-out}

		CodeRabbit enables learnings by default. To disable learnings, modify one of the following configuration options:

		- To disable all CodeRabbit [knowledge base](/integrations/knowledge-base) features for your organization or repository, which includes learnings, enable [the _Opt out_ setting](/reference/configuration#opt-out).

		- To disable all CodeRabbit features that require long-term data retention about your organization's use of CodeRabbit—including learnings—disable [the _Data retention_ setting](/reference/configuration#data-retention).

		:::warning
		Disabling data retention immediately and irrevocably deletes all learnings that CodeRabbit has associated with your organization.
		:::

		### Specify the scope of applied learnings {#scope}

		[The Learnings configuration setting](/reference/configuration#learnings) lets you specify the _scope_ that CodeRabbit applies to all
		of the learnings it has collected about your organization. You can set this option to one of the
		following values:

		- `auto`: When reviewing a public repository, CodeRabbit applies only the learnings specific to that repository. When reviewing private repository, CodeRabbit applies all of your organization's learnings. This is the default setting.
		- `global`: CodeRabbit applies all of your organization's learnings to all code reviews.
		- `local`: CodeRabbit applies only learnings associated with code reviews' respective repositories.

		## What's next {#whats-next}

		- [Add review instructions](/guides/review-instructions)
Original file line number	Diff line number	Diff line change
		@@ -1,5 +1,5 @@
		---
		title:Apply your code review preferences
		title:Knowledge base overview
		description: Learn about CodeRabbit's internal knowledge base and its integrations with external services.
		---

Expand All		@@ -17,11 +17,7 @@ For example, you can add a comment in a PR to chat directly with CodeRabbit. `@c

		Or you can comment directly on some lines of code in the PR. `@coderabbitai do not complain about lack of error handling here, it is handled higher up the execution stack.`

		:::tip Video Tutorial

		Watch our [video walkthrough on learnings](https://www.youtube.com/watch?v=Yu0cmmOYA-U) for more information.

		:::
		For more information, see [Teach CodeRabbit your review preferences](/guides/learnings).

		## Code Guidelines {#code_guidelines}

Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -85,6 +85,7 @@ const sidebars: SidebarsConfig = {
		"getting-started/configure-coderabbit",
		"guides/initial-configuration",
		"integrations/knowledge-base",
		"guides/learnings",
		"guides/review-instructions",
		"tools/tools",
		"guides/roles",
Expand Down