Mobile App Development: Quick Start Guide
February 2, 2024
Article
(10 reviews)
Recommended experience
Intermediate level
Anyone who has basic Python knowledge and wants to learn to build and customize complex apps using Haystack!
(10 reviews)
Recommended experience
Intermediate level
Anyone who has basic Python knowledge and wants to learn to build and customize complex apps using Haystack!
Learn how Haystack components, pipelines, and document stores can be used to build custom AI applications.
Build a RAG pipeline and extend its ability by creating custom components.
Use conditional branching, self-reflecting agents, and function calling to build complex pipelines and apps.
Only available on desktop
In Building AI Applications with Haystack you will learn a high-level orchestration framework that helps ensure your applications are flexible, extendible, and maintainable, even as the technology stack changes, user needs arise, and new features are added.
Using a framework can provide common features out of the box that significantly speeds up the development process. Haystack offers robust and flexible architecture and framework for building AI applications. It manages complexity and helps you focus more on developing your application at a higher level of abstraction. Throughout the course, you will develop several projects, including a RAG app, a news summarization app, a chat agent with function calling, and a self-reflecting agent with loops. What you’ll do: 1. Learn about the core abstractions and unique building blocks of the Haystack framework and see how these elements can be combined for various AI use cases. 2. Build a RAG pipeline by using Haystack components, pipelines, and document stores. 3. Create custom components in your pipeline by building a Hacker News summarizer that extends your app’s ability to access APIs. 4. Use conditional routing to create a branching pipeline with a fall back to web-search when the LLM does not have the context needed to fully respond to the user’s query. 5. Build a self-reflecting agent for named entity recognition with a Haystack pipeline that is able to loop using an output validator custom component. 6. Create a chat agent using OpenAI’s function-calling capabilities which allow you to provide Haystack pipelines as tools to the LLM, enhancing that agent’s capabilities. Start building exciting LLM applications and optimizing your development workflow using Haystack.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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