<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ff396e3e62b347e8aa8d8c9e8756beb9&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ff396e3e62b347e8aa8d8c9e8756beb9-00001.gif</thumbnail_url><duration>280.484</duration><title>Building Agentic RAG with Retrieval, Function Calling and Code Interpreting tools</title><description>In this video,  I give you a walkthrough of building your Agentic RAG with Function calling, Retreiver and Code Interpreter tools. We go through the process of automating the following series of steps for our assistant:
- Create a New thread
- Send a User Message
- Create and Start a Run
- Monitor Run Status
- Handle Required Actions: Like calling an external tool, function handles this by submitting the necessary tool outputs using submit_tool_output, and waits again for the run to complete
- Display Messages

Github link: https://github.com/rajkstats/AIE2/blob/main/Week%202/Day%202/OpenAI_Assistants_Building_Agentic_RAG_with_Function_Calling_API_and_Retrieval_rk.ipynb</description></oembed>