Applying RAG for Working with Wazuh Documentation: A Step-by-Step Guide (Part 2)

Preparing for Code Development

For local code development for RAG, you will need to install the following tools:

Applying RAG for Wazuh Documentation: A Step-by-Step Guide (Part 1)

Introduction to RAG

Retrieval-Augmented Generation (RAG) is a method that allows the use of information from various sources to generate more accurate and useful responses to questions.

Continuing the Series: Integrating a Wazuh Cluster with Ollama — Part 4. Configuration and Implementation

In the previous section, we explored the core principles of building integrations. Now, it’s time to bring all the pieces together and finalize the integration of Wazuh with Ollama.

Wazuh and Ollama: Part 3. Creating Integration Between Your Wazuh Cluster and Ollama

Wazuh offers vast and nearly limitless possibilities for integration with various systems. Even if a specific feature is missing, you can always create your own custom integration. Интеграции с внешними системами могут быть двух видов:

Wazuh and Ollama: Part 2. Deploying the Wazuh Cluster

Now it’s time to set up Wazuh, which we will integrate with Ollama.

Introduction

Welcome to the first part of our guide on enhancing Wazuh with Ollama!

To create a custom integration between Wazuh and MARK, follow these steps:

Step 1: Clone the Repository

Start by cloning the repository that contains the integration script:

git clone https://github.com/pyToshka/wazuh-mark-integration.git  

Step 2: Deploy the Integration Script

Copy the integration script (custom-integration-mark.py) to the Wazuh integrations directory:

cp custom-integration-mark.py /var/ossec/integrations  

Step 3: Configure Script Permissions

Set the required permissions and ownership to ensure the integration script can be executed securely:

Professional Summary

Senior Site Reliability Engineer with 14+ years building, scaling, and maintaining critical infrastructure across diverse technology environments. Deep expertise in cloud architecture, Kubernetes orchestration, DevOps automation, and infrastructure as code. Track record of reducing operational costs by $300K+ annually while maintaining 99.99% availability. Technical leader with experience mentoring 20+ engineers and delivering infrastructure transformations that enable business growth from startup to enterprise scale. Core competencies include AWS, GCP, Azure, Python automation, and microservices architecture.