Haystack-Build and Evaluate Agentic Generative AI Pipelines

About this course

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 ThoughtRAG 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

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