Using Ollama with Agents in Langflow

Join David Jones-Gilardi as he guides you through using local Ollama models in your agents. Ollama empowers you to run models locally on your machine, offering a secure alternative to public providers like OpenAI. In this tutorial, discover how to set up and use Alibaba's Qwen 2.5 model with Langflow, enabling seamless integration with your applications while ensuring data privacy. Perfect for developers looking to enhance their AI workflows securely!

Resources
Langflow (Open Source): http://www.langflow.org
Ollama (local models): https://ollama.com

Additional Resources:
DataStax Developer Hub: https://dtsx.io/devhub
DataStax Blog: https://dtsx.io/howto
Try Langflow: https://dtsx.io/trylangflow
Try Astra DB: https://dtsx.io/40kQpI6
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Stay in touch:
Join our Discord Community:   / discord  
Follow us on X: https://x.com/DataStaxDevs

Chapters:
00:00:00 | 👋Introduction to Tool Calling with Ollama
00:00:12 | 🤔 Why Use Ollama?
00:00:39 | 🔧Setting Up Qwen 2.5 Model
00:01:54 | 🌐Using Langflow with Ollama
00:03:12 | 🔄 Converting OpenAI to Ollama
00:03:25 | ⚙️Configuring Custom Model in Langflow
00:05:18 | 🚀 Running Queries with Qwen 2.5
00:05:57 | ⏱️ Performance Considerations for Local Models
00:07:12 | 🔑 Final Tips and API Integration

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