Haystack – Customizable LLM pipelines for GenAI Applications

Learn techniques for document search,RAG,content generation,Evaluation, Data Science techniques with Haystack components

Created by: Firstlink Consulting
FirstLinkConsulting - Training & consulting services

What Will I 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

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.

Target audience

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