fix: neon docs mention

docs/pages/Deploying/DocsGPT-Settings.mdx

@@ -173,9 +173,11 @@ If you have configured `AUTH_TYPE=simple_jwt`, the DocsGPT frontend will prompt
 
 These are just the basic settings to get you started. The `settings.py` file contains many more advanced options that you can explore to further customize DocsGPT, such as:
 
-- Vector store configuration (`VECTOR_STORE`, Qdrant, Milvus, LanceDB settings)
+- Vector store configuration (`VECTOR_STORE`, Qdrant, Milvus, LanceDB settings) If you're looking for an easy way to set up a vector store with pgvector, try [Neon](https://get.neon.com/docsgpt).
 - Retriever settings (`RETRIEVERS_ENABLED`)
 - Cache settings (`CACHE_REDIS_URL`)
 - And many more!
 
 For a complete list of available settings and their descriptions, refer to the `settings.py` file in `application/core`. Remember to restart your Docker containers after making changes to your `.env` file or `settings.py` for the changes to take effect.
+
+

docs/pages/Deploying/Kubernetes-Deploying.mdx

@@ -13,7 +13,8 @@ This guide will walk you through deploying DocsGPT on Kubernetes.
 Ensure you have the following installed before proceeding:
 
 - [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/)
-- Access to a Kubernetes cluster
+- Access to a Kubernetes cluster.
+- [Neon](https://get.neon.com/docsgpt) (optional) for a quick and easy vector store setup with pgvector.
 
 ## Folder Structure
 
@@ -35,6 +36,8 @@ The `deployment/k8s` folder contains the necessary deployment and service config
 2. **Configure Secrets (optional)**
 
    Ensure that you have all the necessary secrets in `docsgpt-secrets.yaml`. Update it with your secrets before applying if you want. By default we will use qdrant as a vectorstore and public docsgpt llm as llm for inference.
+   
+   Alternatively, you can use [Neon](https://get.neon.com/docsgpt) as an easy way to set up your vector store with pgvector, which is highly recommended for quick deployments.
 
 3. **Apply Kubernetes Deployments**