update

docs/swarms/RAG/qdrant_rag.md

@@ -19,13 +19,17 @@ pip install qdrant-client fastembed swarms-memory litellm
 
 ## Tutorial Steps
 
-1. **Install Swarms**: First, install the latest version of Swarms:
+### Step 1: Install Swarms
+
+First, install the latest version of Swarms:
 
 ```bash
 pip3 install -U swarms
 ```
 
-2. **Environment Setup**: Set up your environment variables in a `.env` file:
+### Step 2: Environment Setup
+
+Set up your environment variables in a `.env` file:
 
 ```plaintext
 OPENAI_API_KEY="your-api-key-here"
@@ -34,16 +38,25 @@ pip install qdrant-client fastembed swarms-memory litellm
 WORKSPACE_DIR="agent_workspace"
 ```
 
-3. **Choose Deployment**: Select your Qdrant deployment option:
+### Step 3: Choose Deployment
+
+Select your Qdrant deployment option:
+
 - **In-memory**: For testing and development (data is not persisted)
 - **Local server**: For production deployments with persistent storage
 - **Qdrant Cloud**: Managed cloud service (recommended for production)
 
-4. **Configure Database**: Set up the vector database wrapper with your preferred embedding model and collection settings
+### Step 4: Configure Database
+
+Set up the vector database wrapper with your preferred embedding model and collection settings
+
+### Step 5: Add Documents
+
+Load documents using individual or batch processing methods
 
-5. **Add Documents**: Load documents using individual or batch processing methods
+### Step 6: Create Agent
 
-6. **Create Agent**: Initialize your agent with RAG capabilities and start querying
+Initialize your agent with RAG capabilities and start querying
 
 ## Code