Follow along with Intel Open Source AI Evangelist Ezequiel Lanza and his guest Bilge Yücel, developer relations engineer at deepset, as they show you how to build an intelligent GenAI agent using Haystack, an open source Python framework.
In this step-by-step live demo, you'll learn how to build a customer support chatbot that can handle a wide range of user queries in real-time.
Don't worry if you're new to Haystack! We'll start with a brief introduction to the framework, covering its core features and how it can be used to build robust and flexible AI applications. Following the introduction, we'll walk you through the process of creating a retrieval-augmented generation (RAG) pipeline using Haystack and the open source Mistral-7B-Instruct-v0.3 model, which is licensed under Apache-2.
By integrating custom components, such as a Weather API Tool, you'll see how the chatbot handles specific requests, like checking the weather forecast, enhancing its functionality and providing a seamless user experience. This use case highlights the practical application of building adaptable AI agents with Haystack that can be deployed across various industries to improve customer interaction and satisfaction.
- Haystack Basics + Web QA: https://lnkd.in/dA_FU5Hg
- Build a Custom AI Agent with Haystack: https://lnkd.in/dhcCuEUJ
Top comments (1)
thank you .nice to miss you