Live Workshop · 3.5 hours · 1 Modules
Learn to build a trustworthy document Q&A system over a pre-existing corpus of local files. This workshop covers the end-to-end engineering required for ingestion, indexing, retrieval, grounding, citations, refusal, and production readiness. The emphasis is not on generic prompting alone, but on building retrieval applications that can be trusted.
Senior AI Engineer
Built production RAG systems at scale
Built production RAG systems at scale
Specialized in building retrieval-augmented generation systems for enterprise applications. Expert in corpus management, vector search, and grounded AI responses.
"Finally understood the difference between a prototype prompt flow and a production retrieval system. The citations and refusal logic were eye-opening."
Karthik R.
Staff Engineer, Leading e-commerce company
"The workshop gave me a complete mental model for RAG systems. I applied the chunking strategies directly to our internal knowledge base the next week."
Meera S.
Tech Lead, Leading fintech
