diff --git a/docs/docs/core-abilities/index.md b/docs/docs/core-abilities/index.md
index ba431bc4..7a97a416 100644
--- a/docs/docs/core-abilities/index.md
+++ b/docs/docs/core-abilities/index.md
@@ -9,7 +9,7 @@ Qodo Merge utilizes a variety of core abilities to provide a comprehensive and e
 - [Impact evaluation](https://qodo-merge-docs.qodo.ai/core-abilities/impact_evaluation/)
 - [Interactivity](https://qodo-merge-docs.qodo.ai/core-abilities/interactivity/)
 - [Compression strategy](https://qodo-merge-docs.qodo.ai/core-abilities/compression_strategy/)
-- [Company Codebase](https://qodo-merge-docs.qodo.ai/core-abilities/company_codebase/)
+- [RAG Context Enrichment](https://qodo-merge-docs.qodo.ai/core-abilities/rag_context_enrichment/)
 - [Static code analysis](https://qodo-merge-docs.qodo.ai/core-abilities/static_code_analysis/)
 - [Code fine-tuning benchmark](https://qodo-merge-docs.qodo.ai/finetuning_benchmark/)
 
diff --git a/docs/docs/core-abilities/company_codebase.md b/docs/docs/core-abilities/rag_context_enrichment.md
similarity index 52%
rename from docs/docs/core-abilities/company_codebase.md
rename to docs/docs/core-abilities/rag_context_enrichment.md
index d22e05e1..2ac6056a 100644
--- a/docs/docs/core-abilities/company_codebase.md
+++ b/docs/docs/core-abilities/rag_context_enrichment.md
@@ -1,17 +1,16 @@
-# Company Codebase 💎
-`Supported Git Platforms: GitHub`
+# RAG Context Enrichment 💎
 
+`Supported Git Platforms: GitHub`
 
 ## Overview
 
-### What is Company Codebase?
+### What is RAG Context Enrichment?
 
-An organized, semantic database that aggregates all your company’s source code into one searchable repository, enabling efficient code discovery and analysis.
+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 Company Codebase work?
-
-By indexing your company's code and using Retrieval-Augmented Generation (RAG), it retrieves contextual code segments on demand, improving pull request (PR) insights and accelerating review accuracy.
+### 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
 
@@ -23,7 +22,7 @@ By indexing your company's code and using Retrieval-Augmented Generation (RAG),
 In order to enable the RAG feature, add the following lines to your configuration file:
 ``` toml
 [rag_arguments]
-enable_rag=true 
+enable_rag=true
 ```
 
 !!! example "RAG Arguments Options"
@@ -31,27 +30,27 @@ enable_rag=true
     <table>
       <tr>
         <td><b>enable_rag</b></td>
-        <td>If set to true, codebase enrichment using RAG will be enabled. Default is false.</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 or repositories, for example: ['my-org/my-repo', ...]. Default: the repository from which the PR was opened.</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>
 
 
-References from the codebase will be shown in a collapsible bookmark, allowing you to easily access relevant code snippets:
+References from the repository will be shown in a collapsible bookmark, allowing you to easily access relevant code snippets:
 
-![References](https://codium.ai/images/pr_agent/company_codebase_references.png){width=640}
+![References](https://codium.ai/images/pr_agent/code_context_enrichment_references.png){width=640}
 
 ## Limitations
 
-### Querying the codebase presents significant challenges:
+### 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, avoid using the whole codebase; focus on PR repository instead
+- **Scope Recommendation**: To reduce noise, focus on the PR repository rather than searching across multiple repositories
 
-### This feature has several requirements and restrictions:
+### 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
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index aa1a0758..eed3f0c8 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -49,7 +49,7 @@ nav:
       - Impact evaluation: 'core-abilities/impact_evaluation.md'
       - Interactivity: 'core-abilities/interactivity.md'
       - Compression strategy: 'core-abilities/compression_strategy.md'
-      - Company Codebase: 'core-abilities/company_codebase.md'
+      - RAG Context Enrichment: 'core-abilities/rag_context_enrichment.md'
       - Static code analysis: 'core-abilities/static_code_analysis.md'
       - Code Fine-tuning Benchmark: 'finetuning_benchmark/index.md'
   - Chrome Extension: