RAG context enrichment

Supported Git Platforms: GitHub, GitLab, Bitbucket, Bitbucket Data Center

!!! info "Prerequisites" - RAG is available only for Qodo enterprise plan users, with single tenant or on-premises setup. - Database setup and codebase indexing must be completed before proceeding. Contact support for more information.

Overview

What is RAG Context Enrichment?

A feature that enhances AI analysis by retrieving and referencing relevant code patterns from your project, enabling context-aware insights during code reviews.

How does RAG Context Enrichment work?

Using Retrieval-Augmented Generation (RAG), it searches your configured repositories for contextually relevant code segments, enriching pull request (PR) insights and accelerating review accuracy.

Getting started

Configuration options

In order to enable the RAG feature, add the following lines to your configuration file:

[rag_arguments]
enable_rag=true

???+ example "RAG Arguments Options"

<table>
  <tr>
    <td><b>enable_rag</b></td>
    <td>If set to true, repository enrichment using RAG will be enabled. Default is false.</td>
  </tr>
  <tr>
    <td><b>rag_repo_list</b></td>
    <td>A list of repositories that will be used by the semantic search for RAG. Use `['all']` to consider the entire codebase or a select list of repositories, for example: ['my-org/my-repo', ...]. Default: the repository from which the PR was opened.</td>
  </tr>
</table>

Applications

RAG capability is exclusively available in the following tools:

=== "/ask" The /ask tool can access broader repository context through the RAG feature when answering questions that go beyond the PR scope alone. The References section displays the additional repository content consulted to formulate the answer.

![RAGed ask tool](https://codium.ai/images/pr_agent/rag_ask.png){width=640}

=== "/compliance" The /compliance tool offers the Codebase Code Duplication Compliance section which contains feedback based on the RAG references. This section highlights possible code duplication issues in the PR, providing developers with insights into potential code quality concerns.

![RAGed compliance tool](https://codium.ai/images/pr_agent/rag_compliance.png){width=640}

=== "/implement" The /implement tool utilizes the RAG feature to provide comprehensive context of the repository codebase, allowing it to generate more refined code output. The References section contains links to the content used to support the code generation.

![RAGed implement tool](https://codium.ai/images/pr_agent/rag_implement.png){width=640}

=== "/review" The /review tool offers the Focus area from RAG data which contains feedback based on the RAG references analysis. The complete list of references found relevant to the PR will be shown in the References section, helping developers understand the broader context by exploring the provided references.

![RAGed review tool](https://codium.ai/images/pr_agent/rag_review.png){width=640}

Limitations

Querying the codebase presents significant challenges

• Search Method: RAG uses natural language queries to find semantically relevant code sections

• Result Quality: No guarantee that RAG results will be useful for all queries

• Scope Recommendation: To reduce noise, focus on the PR repository rather than searching across multiple repositories

This feature has several requirements and restrictions

• Codebase: Must be properly indexed for search functionality

• Security: Requires secure and private indexed codebase implementation

• Deployment: Only available for Qodo Merge Enterprise plan using single tenant or on-premises setup