Building AI Applications with Haystack

What You'll Learn

• Understand Haystack components, pipelines, and document stores to build custom AI applications.
• Create a RAG pipeline and extend its capabilities by developing custom components.
• Use conditional branching, self-reflecting agents, and function calling to build complex pipelines and applications.

About This Course

This course introduces you to Haystack, a high-level orchestration framework designed to streamline the development of flexible and extendable AI applications. You'll learn to leverage Haystack’s architecture to build applications like RAG systems, news summarizers, chat agents, and self-reflecting agents. Throughout the course, you will create several projects that showcase the versatility of Haystack components and workflows.

• Haystack Core Abstractions: Learn about Haystack’s unique building blocks and how to combine them for different AI use cases.
• Customized RAG Pipeline: Build a RAG pipeline using Haystack components, pipelines, and document stores.
• Custom Components: Extend application abilities by creating custom components, such as a Hacker News summarizer.
• Conditional Routing: Build a branching pipeline with fallbacks to web-search for enhanced response generation.
• Self-Reflecting Agents: Use output validators and loops in Haystack to create a self-reflecting agent for tasks like named entity recognition.
• Chat Agent with Function Calling: Implement OpenAI’s function-calling in Haystack pipelines to enhance chat capabilities.

Course Outline

• Introduction
  Overview of Haystack and its role in building flexible AI applications.
• Haystack Building Blocks
  Explore the core components of Haystack with code examples.
• Build Customized RAG
  Develop a RAG pipeline tailored to specific application requirements.
• Custom Components – News Summarizer
  Build a news summarizer as a custom component for extended application functionality.
• Fallbacks with Branching Pipelines
  Create branching pipelines with fallback options for improved responses.
• Self-Reflecting Agents with Loops
  Design self-reflecting agents using loops and output validation.
• Chat Agent with Function Calling
  Implement function-calling capabilities in chat agents for enhanced interaction.
• Conclusion
  Final thoughts and best practices for using Haystack.

Who Should Join?

This course is designed for individuals with basic Python knowledge who want to learn how to build and customize complex AI applications using Haystack.