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Watch anytimeRAGHybrid SearchReranking
Build production RAG you can actually ship
From a prototype that works on slides to a system that holds up with real users.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
45 minutes · intermediate
About this session
Why this one matters
Naive RAG works on slides and breaks the moment real users ask real questions. This walkthrough rebuilds it the way production teams actually do: chunking that preserves meaning, hybrid retrieval, reranking that earns its keep, and evaluation that catches regressions before your users do. You leave with a blueprint you can ship.
Who should watch
- Backend and AI engineers shipping RAG features this quarter
- Tech leads deciding between framework-heavy and hand-rolled pipelines
- Engineers whose first RAG prototype works on slides but not in prod
Topics we'll cover
What's on the menu
- Where naive RAG breaks the moment it leaves the tutorial
- Chunking that preserves meaning across document types
- Hybrid retrieval plus a reranker that actually moves the needle
- Evaluation that catches regressions before your users do
- Failure modes live: tricky documents, multi-hop questions, contradictions
- A deployment blueprint you can carry back to your team
What you'll walk away with
Leave with a blueprint
- Spot why naive RAG fails in production and what to replace it with
- Pick the right chunking strategy for your document type without trial-and-error
- Wire hybrid retrieval plus a reranker that actually moves the needle
- Stand up an evaluation loop that catches regressions before your users do
- Walk out with a deployment blueprint you can apply to what you are shipping next
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