RAG in Production, Done Right (90-min Audit)

Rajamohan Jabbala

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RAG in Production, Done Right (90-min Audit)
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72,99985,599
90 mins

If your GenAI demo looks great but crumbles in the real world, this is for you. We’ll sit down together, look at your app, data, and logs, and fix what’s actually slowing you down—no buzzwords, just practical decisions.

What we’ll do (live):

  • Choose one focus: grounding & retrieval, guardrails & prompts, or latency/cost.
  • Trace a real user flow end-to-end to spot failure points (hallucinations, stale context, slow hops).
  • Sketch the right retrieval schema, caching, and eval checks to keep answers trustworthy.

What you’ll leave with:

  • A 1-page action plan: the top 3 fixes, why they matter, and how to roll them out safely.
  • An annotated diagram of your RAG path (from query → retrieval → prompt → response).
  • Clear targets for accuracy, latency, and spend—so you can measure wins, not feelings.

Bring (optional but helpful):

  • 1–2 sample prompts + expected answers
  • A quick diagram or description of your current setup
  • Any latency or cost goals you care about

Perfect for: founders, product leaders, and engineering teams who need a grounded, reliable RAG in weeks—not “someday.”