Cross-references

Author: Karuna-Mendix

content/en/docs/appstore/use-content/platform-supported-content/modules/genai/mendix-cloud-genai/Mx GenAI Connector.md

@@ -119,11 +119,11 @@ The microflow activity [Chat completions (with history)](/appstore/modules/genai
 
 #### Retrieve & Generate {#retrieve-and-generate}
 
-To use retrieval and generation in a single operation, an internally predefined tool can be added to the [Request](/appstore/modules/genai/commons/#request) via the `Tools: Add Mendix Cloud Knowledge Base` action . The model can then decide whether to use the [knowledge base retrieval](/appstore/modules/genai/commons/#knowledge-base-retrieval) tool when handling the request. This functionality is supported in both with-history and without-history operations. Additionally, you may apply optional filters, such as `MaxNumberOfResults` or `MinimumSimilarity`, or pass a [MetadataCollection](/appstore/modules/genai/commons/#metadatacollection-entity). The optional `Description` can help the model understand the knowledge base content and decide whether it should be called in the current chat context.
+To use retrieval and generation in a single operation, an internally predefined tool can be added to the [Request](/appstore/modules/genai/genai-for-mx/commons/#request) via the `Tools: Add Mendix Cloud Knowledge Base` action . The model can then decide whether to use the [knowledge base retrieval](/appstore/modules/genai/genai-for-mx/commons/#knowledge-base-retrieval) tool when handling the request. This functionality is supported in both with-history and without-history operations. Additionally, you may apply optional filters, such as `MaxNumberOfResults` or `MinimumSimilarity`, or pass a [MetadataCollection](/appstore/modules/genai/genai-for-mx/commons/#metadatacollection-entity). The optional `Description` can help the model understand the knowledge base content and decide whether it should be called in the current chat context.
 
 {{< figure src="/attachments/appstore/platform-supported-content/modules/genai/mxgenAI-connector/MxGenAIConnector_ConfigureRAG.png" >}}
 
-The returned `Response` includes [References](/appstore/modules/genai/commons/#reference) if the model used them to generate its response. In some cases, a knowledge chunk consists of two texts: one for the semantic search step (retrieval) and another for the generation step. For example, when solving a problem based on historical solutions, the semantic search identifies similar problems using their descriptions, while the generation step produces a solution based on the corresponding historical solutions. In those cases, you can add [MetaData](/appstore/modules/genai/commons/#chunkcollection-add-knowledgebasechunk) with the key `knowledge` to the chunks during the insertion stage, allowing the model to base its response on the specified metadata rather than the input text (only the knowledge is passed to the model).
+The returned `Response` includes [References](/appstore/modules/genai/genai-for-mx/commons/#reference) if the model used them to generate its response. In some cases, a knowledge chunk consists of two texts: one for the semantic search step (retrieval) and another for the generation step. For example, when solving a problem based on historical solutions, the semantic search identifies similar problems using their descriptions, while the generation step produces a solution based on the corresponding historical solutions. In those cases, you can add [MetaData](/appstore/modules/genai/genai-for-mx/commons/#chunkcollection-add-knowledgebasechunk) with the key `knowledge` to the chunks during the insertion stage, allowing the model to base its response on the specified metadata rather than the input text (only the knowledge is passed to the model).
 
 Additionally, to utilize the `Source` attribute of the references, you can include `MetaData` with the key `sourceUrl`. Finally, the `HumanReadableId` of a chunk is used to display the reference's title in the response.