// move beyond basic RAG demos |
The GenAI Build Lab: Build Production-Ready RAG on a Budget
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Live build lab for AI & ML engineers | Saturday, August 29 | 7 PM–11 PM GMT+5 |
$215.25 $140.55 | SAVE 35% WITH CODE GENAI35 |
🎁 PLUS: Get a FREE copy of the latest edition of Machine Learning for Time-Series with Python with your ticket |
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Hi ,
Building a basic RAG pipeline is relatively easy. Making it accurate, reliable, measurable, and affordable in production is much harder.
Join Ben Auffarth, PhD, bestselling author, for a hands-on build lab focused on what happens after your RAG demo works.
Using a realistic travel-company use case, you’ll expose where RAG systems fail and improve the system step by step using hybrid retrieval, reranking, evaluation, self-checking, and guardrails.
You’ll do it using open models, without depending on paid API keys or expensive GPU infrastructure.
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Save 35% Today with Code GENAI35 |
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Build hybrid retrieval using dense and keyword search
- Improve retrieval with reciprocal rank fusion and cross-encoder reranking
- Evaluate RAG quality with practical metrics and testing
- Add guardrails and self-checking for more reliable outputs
- Balance quality, infrastructure, and cost for production use
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Open Models → Hybrid Retrieval → Reranking → Evaluation → Guardrails → Production RAG |
Leave with a practical RAG workflow designed to improve retrieval quality, measure |
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AI/ML engineers, data scientists, GenAI developers, software engineers, and technical architects who want to move beyond basic RAG demos and build systems they can actually trust in production. |
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Ben is Director and Chief Data Officer at Chelsea AI Ventures, with 15+ years of experience across technology, finance, insurance, and travel. He is also the author of bestselling books on LangChain, time series, and AI with Python. |
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Live 4-hour hands-on workshop |
35% off with code GENAI35 |
FREE eBook: Machine Learning for Time-Series with Python |
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If you’ve already built a basic RAG pipeline, this is your opportunity to learn what it takes to make it reliable enough for the real world. |
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Would love to see you there,
The Packt Team |
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