Refine doc for chathistory, feedback_management, and prompt_registry.

comps/chathistory/README.md

@@ -6,21 +6,18 @@ It can be integrated into application by making HTTP requests to the provided AP
 
 ![Flow Chart](./assets/img/chathistory_flow.png)
 
----
-
 ## 🛠️ Features
 
 - **Store Chat Conversations**: Save chat messages user information, and metadata associated with each conversation.
 - **Retrieve Chat Histories**: Fetch chat histories for a specific user or retrieve a particular conversation by its unique identifier.
 - **Update Chat Conversations**: Modify existing chat conversations by adding new messages or updating existing ones.
 - **Delete Chat Conversations**: Remove chat conversations record from database.
 
----
-
-## ⚙️ Implementation
-
-The Chat History microservice able to support various database backends for storing the chat conversations.
+## ⚙️ Deployment Options
 
-### Chat History with MongoDB
+To get detailed, step-by-step instructions on deploying the `chathistory` microservice, you should consult the deployment guide. This guide will walk you through all the necessary steps, from building the Docker images to configuring your environment and running the service.
 
-For more detail, please refer to this [README](src/README.md)
+| Platform | Deployment Method | Database | Link                                                      |
+| -------- | ----------------- | -------- | --------------------------------------------------------- |
+| CPU      | Docker            | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |
+| CPU      | Docker Compose    | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |

comps/feedback_management/README.md

@@ -2,21 +2,18 @@
 
 The Feedback Management microservice facilitates the storage and retrieval of users'feedback data by establishing a connection with the databases. This microservice is designed to seamlessly integrate with OPEA applications, enabling data persistence and efficient management of feedback data.
 
----
-
 ## 🛠️ Features
 
 - **Store Feedback**: Save feedback data from user into database.
 - **Retrieve Feedback**: Fetch feedback data from database based on user or id.
 - **Update Feedback**: Update feedback data info in the database based on id.
 - **Delete Feedback**: Remove feedback record from database.
 
----
-
-## ⚙️ Implementation
-
-The Feedback Management microservice able to support various database backends for storing the feedback data.
+## ⚙️ Deployment Options
 
-### Feedback Management with MongoDB
+To get detailed, step-by-step instructions on deploying the `feedback_management` microservice, you should consult the deployment guide. This guide will walk you through all the necessary steps, from building the Docker images to configuring your environment and running the service.
 
-For more detail, please refer to this [README](./src/README.md)
+| Platform | Deployment Method | Database | Link                                                      |
+| -------- | ----------------- | -------- | --------------------------------------------------------- |
+| CPU      | Docker            | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |
+| CPU      | Docker Compose    | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |

comps/prompt_registry/README.md

@@ -2,20 +2,17 @@
 
 The Prompt Registry microservice facilitates the storage and retrieval of users' preferred prompts by establishing a connection with the databases. This microservice is designed to seamlessly integrate with OPEA applications, enabling data persistence and efficient management of user's preferred prompts.
 
----
-
 ## 🛠️ Features
 
 - **Store Prompt**: Save user's preferred prompt into database.
 - **Retrieve Prompt**: Fetch prompt from database based on user, id or even a keyword search.
 - **Delete Prompt**: Remove prompt from database.
 
----
-
-## ⚙️ Implementation
-
-The Prompt Registry microservice able to support various database backends for storing the prompts.
+## ⚙️ Deployment Options
 
-### Prompt Registry with MongoDB
+To get detailed, step-by-step instructions on deploying the `prompt_registry` microservice, you should consult the deployment guide. This guide will walk you through all the necessary steps, from building the Docker images to configuring your environment and running the service.
 
-For more detail, please refer to this [README](./src/README.md)
+| Platform | Deployment Method | Database | Link                                                      |
+| -------- | ----------------- | -------- | --------------------------------------------------------- |
+| CPU      | Docker            | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |
+| CPU      | Docker Compose    | MongoDB  | [Deployment Guide](./deployment/docker_compose/README.md) |