# Deploy

**Overview**

This guide provides step-by-step instructions for setting up an environment that integrates multiple services like AIMETA.

**Prerequisites**

* Necessary API keys and environment variables as required by specific services.
* Ensure NVIDIA GPU drivers are installed if utilizing GPU support for the LLM.

**Service Configuration**

1. **LLM-GPU Services**
   * **Purpose:** Hosts a Large Language Model with optional GPU support.
   * **Configuration:**
     * Operates within a Linux environment.
     * Utilizes all available NVIDIA GPUs for the GPU-enabled configuration.
2. **Pull-Model Service**
   * **Purpose:** Manages the model pulling for the LLM service.
   * **Configuration:**
     * Built from Linux environment.
     * Depends on environment variables such as model URLs and API keys.
     * Connected to the `net` network and dependent on `llm-gpu`.
3. **Database Service**
   * **Purpose:** Utilizes Neo4j for graph-based data storage.
   * **Configuration:**
     * Exposes ports for external connectivity.
     * Uses persistent storage volumes.
     * Configured with environment variables for authentication and plugins.
4. **Loader Service**
   * **Purpose:** Loads data into the Neo4j database.
   * **Configuration:**
     * Custom Dockerfile.
     * Interacts with Neo4j and depends on the database and pull-model services.
     * Utilizes API keys and environment configurations.
5. **Bot Services**
   * **General Bot Configuration:**
     * Custom Dockerfile.
     * Utilizes `net` network and Neo4j database connections.
   * **Voice Bot Specifics:**
     * Handles tasks related to Voice processing.
6. **API Service**
   * **Purpose:** Provides an API interface for external communications.
   * **Configuration:**
     * Built from a custom Dockerfile.
     * Health checks implemented.
     * Ports exposed for external connectivity.
     * Depends on the database and pull-model service completion.

**Health Checks**

* Implemented in services such as the API and chrome plugin to ensure operational status before being available for use.

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