I recently wrote an article at freecodecamp.org about How to Build a Personal AI Web Research Agent with Ollama and Qwen. Most of us have used ChatGPT or Claude to send queries to a large language model. You’ve probably also seen hallucinations in the response when the model didn’t know something, sometimes because its knowledge was out of date.

With the rise of tool calling, LLMs can now use tools to search the web for the latest information. They can then bring that information into context and use it to generate an output, summarize results, and extract key points from retrieved sources.

In the tutorial, I show how to buid a personal research agent that searches the internet for any topic and uses local LLM to summarize what it finds. It runs entirely on my own machine to preserve privacy and has no API costs. So it’s completely free.

I had a great time writing this tutorial and I strongly believe that local on-device AI agents are the future. I am planning to create more of these tutorials later.

You can read it here https://www.freecodecamp.org/news/build-a-personal-ai-web-research-agent-with-ollama-and-qwen(https://www.freecodecamp.org/news/build-a-personal-ai-web-research-agent-with-ollama-and-qwen/)