video1.0<iframe src="https://www.loom.com/embed/bdb2c251b80e4a39ab2dd156f3e15193" frameborder="0" width="1110" height="832" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8321110Loomhttps://www.loom.com8321110https://cdn.loom.com/sessions/thumbnails/bdb2c251b80e4a39ab2dd156f3e15193-edc88cd9881e7e82.gif244.6702In this video, I demonstrate a Streamlit app that utilizes a crew of agents built with the Crew AI framework, leveraging an Ory endpoint powered by the latest open-source GPT model with 120 billion parameters. The app is specifically designed for life sciences research, enabling users to query and retrieve detailed reports from the PubMed data source. I walk through the process of submitting a technical query and showcase the comprehensive report generated by the AI agent, which includes summaries, research landscapes, and references. I encourage you to explore the app and check the blog post for more details and code. Stay tuned for future sessions where I will dive deeper into the agent-building process.