Masterclasses · Advanced
RAG Systems in Production
Retrieval-augmented generation that survives contact with real documents: ingestion, chunking, hybrid search, reranking, evaluation.
Most RAG systems die in the gap between demo and production. This masterclass closes it: robust ingestion for messy enterprise documents, chunking and embedding strategy, hybrid retrieval with reranking, grounded generation, and the evaluation loops that keep answer quality honest.
Who it's for
Engineers and architects building knowledge systems.
Tools & stack
What you'll walk away with
- Design ingestion pipelines for messy real-world corpora
- Choose chunking/embedding strategies from evidence, not folklore
- Implement hybrid search + reranking that measurably beats naive RAG
- Stand up answer-quality evaluation with citation faithfulness checks
Curriculum
01Ingestion & indexing
- Document parsing at scale
- Chunking strategies
- Embedding model selection
- Metadata design
02Retrieval quality
- Hybrid BM25+vector
- Reranking
- Query rewriting
- Lab: retrieval bake-off
03Grounded generation
- Citation discipline
- Answer synthesis patterns
- Refusal design
- Lab: grounded answerer
04Evaluation & operations
- Faithfulness metrics
- Canary corpora
- Freshness pipelines
- Capstone review
Pricing
Value-based
Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.
Indicative rate card · ≈ ₹7,999/hr · $200/hr
Seats limited
Choose a cohort
New cohort dates announced weekly — enrol now and pick your dates with an advisor.
Pay by PO · nothing upfront · net 30 days · GeM & tender-ready
Or reserve a seat online
₹7,999deposit
Reserves your seat & dates. Balance invoiced per your engagement.
Secure · Razorpay · full refund 7+ days before start
Every enrolment includes
- • Qube copilot access throughout
- • All session recordings & materials
- • Graded applied project with review
- • Verifiable certificate on completion
- • 30-day post-programme support
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