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Haystack-Build and Evaluate Agentic Generative AI Pipelines
Rating: 3.9 out of 5(89 ratings)
1,412 students

Haystack-Build and Evaluate Agentic Generative AI Pipelines

Learn techniques for document search,RAG,content generation,Evaluation, Data Science techniques with Haystack components
Created byFirstlink Consulting
Last updated 12/2025
English

What you'll learn

  • Learn fundamentals of Haystack 2.0. Haystack theory with hands on examples
  • Haystack 2.0 Concepts: Pipelines, Components, Document Store, Retrievers, Evaluators
  • Haystack 2.0 Advance Topics : Re-Ranker, Hybrid Retriever, Advanced Filtering, Self Correcting Loops, Agentic Pipeline using OpenAI's function calling
  • Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thoughts
  • Model Based Evaluators - Faithfulness Evaluator(LLM-As-A-Judge), SAS Evaluator, Context Relevance Evaluator
  • Advanced Retrieval Techniques : Filter Retriever, Sparse Keyword Based Retriever, Dense Embedding Retriever and Sparse Embedding Retriever - SPLADE
  • RAG Pipeline: Learn about RAG, Vector store

Course content

11 sections • 30 lectures • 6h 9m total length

  • Introduction4:18
  • Local Environment Setup2:13
  • 10,000 Foot on Language Model14:41

    10,000 foot view of different models in the current industry. First, we will learn about different model categories and how models have evolved over time eg- BERT, Language Model, LLM. We will also cover different terminology used in the industry for model development eg-  Fine tuning, SFT(Supervise Fine Tuning, RLHF(Reinforcement Learning From Human Feedback)

Requirements

  • This is not an introductory course. It is designed for individuals with a background in software engineering who are already proficient in Python
  • Students will be familiar topics such as: git, python, pipenv, environment variables, classes, testing and debugging.
  • No Machine Learning experience is needed.

Description

Haystack is an end-to-end framework that accompanies you in every step of the GenAI project life cycle. Whether you want to perform document search, retrieval-augmented generation (RAG), question answering, or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.

This beginner to advanced all-encompassing course aims to swiftly show you how to leverage the Haystack 2.0 library for LLM applications. You will acquire the expertise and insights required to create state-of-the-art LLM solutions across a wide array of subjects.

What you'll learn:

  • Haystack Foundations : Understand fundamentals of Haystack2.0 by learning Haystack components. Haystack theory with hands on example

  • Real-World Applications : Implement Haystack components with real world applications

  • Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thought

  • RAG Pipeline : Learn about RAG, Vector store

  • Haystack 2.0 Concepts : Pipelines, Components, Document Store, Retrievers, Evaluators

  • Advanced Retrieval Techniques : Filter Retriever, Sparse Keyword Based Retriever, Dense Embedding Retriever and Sparse Embedding Retriever - SPLADE(Sparse Lexical and Expansion Model)

  • Model Based Evaluators - Faithfulness Evaluator(LLM-As-A-Judge), SAS Evaluator, Context Relevance Evaluator

  • Haystack 2.0 Advance Topics : Re-Ranker, Hybrid Retriever, Advanced Filtering, Self Correcting Loops, Conversation/Agentic Pipeline using OpenAI's function calling, LLM-As-A-Judge, Model Based Evaluation

  • React Prompt and FastRAG : Build Multi Agentic pipelines with React Prompt 

During the course, you will engage in practical exercises and real-world projects to solidify your grasp of the concepts and methods discussed. By the course's conclusion, you will be skilled in utilizing Haystack to develop robust, efficient, and adaptable LLM applications for a broad range of uses.


Who Should Enroll:

AI developers, data scientists, business leaders looking to acquire skills in building generative AI-based applications with Haystack

Who this course is for:

  • Software Engineers looking to acquire skills in building generative AI-based applications with Haystack

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