Build Customizable LLM Pipelines with Haystack

Artificial Intelligence

Build Customizable LLM Pipelines with Haystack

Learn to design, implement, and optimize document search, Retrieval-Augmented Generation (RAG), question answering, and answer generation systems using Haystack’s modular AI framework.

🔒

Included with Skilldacity Membership

About This Course

⌄

Learn to design, implement, and optimize document search, Retrieval-Augmented Generation (RAG), question answering, and answer generation systems using Haystack’s modular AI framework. Haystack is a powerful end-to-end framework for developing generative AI and NLP applications. Whether you’re building a document search engine, RAG pipeline, or intelligent Q&A system, Haystack simplifies the orchestration of embedding models and LLMs into scalable, production-ready pipelines.

In this comprehensive, project-driven course, you’ll progress from foundational understanding to hands-on mastery. Through guided exercises and real-world projects, you’ll learn how to construct, evaluate, and optimize LLM applications using Haystack 2.0 — from data ingestion to final answer generation.

What You’ll Learn

⌄

Haystack Foundations: Master the fundamentals of Haystack 2.0, its architecture, and how its components interact across real-world use cases.
Core Concepts: Gain hands-on experience with Pipelines, Components, Document Stores, and Retrievers.
Advanced Topics: Explore Hybrid Retrievers, Advanced Filtering, Rankers, and Self-Correcting Loops to improve retrieval precision and system robustness.
RAG Pipelines: Build and deploy Retrieval-Augmented Generation workflows using LLMs and Vector Stores, including techniques for guardrail implementation.
Prompt Engineering: Apply advanced prompting strategies such as Zero-Shot, Few-Shot, and Chain-of-Thought for more accurate, contextual results.