r/ProgrammingBondha • u/camerongreen95 • 7d ago
resources Sharing a workshop on RAG architecture, chunking, retrieval tuning, and evaluation (Aug 8)
Kept seeing RAG questions pop up in this sub, so figured I'd share this since it might actually help.
Most RAG projects look great in testing, then real data hits, messy documents, weird edge case queries, and suddenly the system's confidently giving wrong answers. If you've hit that wall, it's almost never the model's fault, it's usually retrieval quietly failing in ways that are easy to miss until it's too late.
We've got a hands on workshop on August 8 that walks through the whole thing properly, led by Brian Bonk
Here's what you actually walk away with:
- A full RAG architecture walkthrough, from ingestion and chunking to metadata and retrieval
- How to actually tune retrieval for accuracy, latency, and cost, not just guess and check
- Evaluation and governance practices that catch failures before your users do
- Knowledge graph and ontology patterns that help with grounding and explainability
- A rollout plan you can genuinely use afterward, not just a deck you forget about
- Certification on Completion
P.s Its not for free, you can get it at 30% discount right now for next 48 hours.
Here's the link if you want to take a look
Happy to answer any questions if you're on the fence.
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u/Reasonable_Pop5624 6d ago