This bootcamp builds on Vector's first RAG Bootcamp by moving beyond foundational concepts into advanced enterprise Retrieval-Augmented Generation (RAG) challenges. Participants will learn how to handle complex documents, tables, multi-source queries, and dynamic content using advanced techniques such as query rewriting, hybrid indexing, evidence validation, multi-stage retrieval, agentic retrieval, and GraphRAG. Through hands-on learning, participants will evaluate the tradeoffs between retrieval quality, grounded responses, compute cost, latency, engineering effort, and data context while developing production-ready enterprise RAG solutions.

Program Duration: October 21 – December 3, 2026 (Tentative)

Oct. 21 – Technical Onboarding: Guided session to set up resources.
Oct. 22 – Nov. 5 – Use-Case Preparation
Nov. 6 – Nov. 30 – Build Phase: Execute the selected use case.
Dec. 1–3 – Build Days

This information session will provide an overview of the bootcamp, including its objectives, curriculum, format, eligibility, and application process. We encourage you to share this invitation with colleagues or peers in your organization who may be interested in advancing their enterprise RAG capabilities.

Note: Bootcamp applications will open after the information session.

Disclaimer: This bootcamp is open to Vector Sponsors, FastLane companies, Vector Researchers, and invited partners only. Any application found to be ineligible will be reviewed, and applicants may be asked to provide verification. Those unable to verify their eligibility will not be admitted to the program. Please contact advanced-rag@vectorinstitute.ai. with any questions.