Setting Up Ollama with Microsoft SharePoint

What is Ollama?

The Importance of Microsoft SharePoint in Your Workspace

Why Combine Ollama with SharePoint?

1. Local Data Management: By hosting language models locally with Ollama, your sensitive data stays within your organization, avoiding data leaks often associated with cloud services.
2. Customization: You can train your models on your own data, tailoring responses to meet the exacting needs of your organization.
3. Enhanced Productivity: With chatbot capabilities integrated into SharePoint portals, employees can ask questions, retrieve documents, and automate repetitive tasks effectively.
4. Cost-Efficiency: Running Ollama means you can cut costs linked to API usage and data transmission while optimizing operational performance.

Setup Prerequisites

• A working installation of Docker, as Ollama leverages Docker for running its containers.
• Access to a SharePoint environment where you can test the integration.
• Basic knowledge of command-line tools and APIs.

Step-by-Step Guide to Setting Up Ollama with SharePoint

Step 1: Install Docker

1. Visit the official Docker website to download and install Docker on your machine.
2. Follow the installation instructions pertinent to your operating system (Windows, macOS, Linux).
3. Verify the installation by running the command
   1 docker --version
   in your terminal.

Step 2: Pull the Ollama Docker Image

1. Open your terminal and pull the Ollama Docker image using:
   1 2 bash docker pull ollama/ollama
   This command downloads the necessary image to your local machine, allowing you to run it inside a Docker container.

Step 3: Run Ollama

1. To start your Ollama container, run the following command:
   1 2 bash docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
   Here, the
   1 -p
   flag maps the container port to your localhost, allowing access through your web browser or through API calls. The
   1 -v
   option mounts a volume, helping with data persistence.

Step 4: Configure Ollama to Work with SharePoint

1. Authentication: Set up authentication mechanisms to secure access to your Ollama service. Generate API keys if necessary.
2. Endpoints: Configure Ollama's API endpoints to match your integration needs. Reference the Ollama API documentation for creating appropriate endpoints that SharePoint can use to communicate with Ollama.

Step 5: Build a SharePoint Web Part

1. Navigate to your SharePoint site and create a new web part using the SharePoint Framework (SPFx).
2. Use the following basic template for your web part: ```javascript import { HttpClient } from '@microsoft/sp-http';
   // Function to call Ollama API async function callOllama(text) { const response = await HttpClient.get(

   1 http://localhost:11434/v1/chat/completions

   , { headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ prompt: text }) }); const result = await response.json(); return result; } ```
3. Use your client-side code to retrieve answers and content from Ollama based on user input.

Step 6: Deploy and Test Your Integration

• Deploy your SPFx web part into your SharePoint environment. Ensure you follow the official Microsoft guide on deploying such components.
• Test the entire process by engaging with your Ollama service through your SharePoint web part. Fine-tune the prompts to optimize responses.

Additional Recommendations

• Monitor Performance: Regularly check server performance and logs during development and deployment phases to identify any potential issues.
• AI Safety and Privacy: Remain compliant with data policies and guidelines within your organization regarding the handling of sensitive information.
• Data Enhancement: Continuously improve your LLM's training set by incrementally adding more data or refining your models based on user interactions.

Final Thoughts

Summary

• Setting up Ollama in SharePoint enhances data utilization.
• Secure your data locally while leveraging powerful LLMs.
• Engage users smarter with model interactions and custom prompts.