Building Document QA Systems with Haystack
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 152 MB
Instructor: Zachary Bennett
Build accurate, hallucination-free QA systems over your own documents in under 60 minutes. This fast-track course teaches you modern Haystack: hybrid retrieval, generative and extractive answers, evaluation, and one-click FastAPI deployment.
What you'll learn
Tired of generic chatbots that hallucinate or return irrelevant answers when querying your company documents, research papers, or knowledge base? In this course, Building Document QA Systems with Haystack, you'll learn to build fast, accurate, production-ready, and question-answering systems over private document collections.
First, you'll explore Haystack's modern pipeline architecture and get a fully working Retrieval-Augmented Generation (RAG) system running in under 10 minutes.
Next, you'll discover how to correctly process real-world documents and implement state-of-the-art hybrid retrieval (BM25 + dense embeddings) that dramatically outperforms keyword or vector searches alone.
Finally, you'll learn how to generate trustworthy answers with citations, evaluate accuracy, optimize speed and cost, and ship your system with a simple FastAPI endpoint.
When you're finished with this course, you'll have the skills and knowledge of modern Retrieval-Augmented Generation needed to deploy reliable document QA systems for your team, customers, or personal knowledge base.
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