Live Webinar: June 27th
Build Accurate, Custom Agentic RAG Systems Locally with HP AI Studio
Want to build more capable RAG systems using local models? Join us to explore how HP AI Studio can streamline the development of Agentic Retrieval-Augmented Generation (RAG) pipelines enhanced with query rewriting, memory, and tool calling. Ata Turhan, an AI Engineer at HP, will walk through a real-world example of a local agentic workflow in HP AI Studio that uses TRT-LLM and LangGraph to answer questions about the platform by retrieving information from Zdocs, a collection of documents about HP AI Studio, and generating accurate, reference-backed responses.
Throughout the session, you’ll see how HP AI Studio enables rapid prototyping, customization, and deployment of advanced AI systems on local hardware.
What you’ll learn:
- How to architect a local Agentic RAG system using HP AI Studio
- Techniques to improve response quality with query rewriting, memory, and tool use in an Agentic workflow
- How to connect and retrieve from multiple documents to ground answers in source content
- Best practices for building and testing complex agentic AI workflows in a local environment
Explore the project files on GitHub before the webinar.
Live Webinar: Build Accurate, Custom Agentic RAG Systems Locally with HP AI Studio
Speaker: Ata Turhan, AI Engineer at HP
Date: June 27th
Time: 9:00am - 09:45am PST
Limited spots available – register today!