NEOPOLIS AKADEMY
Building AI Agents with Haystack
Intermediate pathway on building explainable AI agents with Haystack. Covers index integration, traceability of agent decisions, and mechanisms to produce inspectable, justifiable outputs.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Integration of document sources and index construction for agents with Haystack.
Designing pipelines that preserve decision traces and contextual evidence.
Methods to produce actionable explanations and justifications for each response.
Strategies to balance retrieval performance with agent transparency.
STEP BY STEP
Course programme
01Building AI Agents with Haystack
Overview of Haystack for building robust, transparent agents. The course describes Haystack agent capabilities, how to make agents less opaque, and how Haystack pipelines structure processing to improve answer reliability.
Survey of a Haystack agent’s features and potential use cases.
Explanation of agent opacity issues and methods to increase interpretability.
Introduction to Haystack pipelines: organizing processing steps and integrating data sources.
Summary and guidance for designing reliable agents for practical deployment.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page