AI Engineering · RAG & Retrieval Engineer — Learning Repository

🎓 Part of the free, open-source AI Career Curriculum ecosystem — Infrastructure · ML Engineering · AI Engineering · Governance. Live cohorts & team programs: ai-infra-curriculum.github.io.

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Build retrieval systems: chunking, embeddings, vector stores, hybrid search, and grounded RAG pipelines.

Status: curriculum plan authored (2026-08-06). 12 modules (164 h) + 3 projects (120 h) = ~284 h laid out in .aicg/curriculum-plan.json and mirrored in CURRICULUM.md. Only lessons/mod-001-rag-foundations/ is currently drafted (a pre-plan scaffold, subsumed by mod-101); the remaining modules and projects will be built out by subsequent autonomous content cycles.

Layout

rag-engineer-learning/
├── lessons/mod-XXX-*/        modules with lectures, exercises, labs, quizzes
├── projects/project-XXX-*/   multi-module capstones
├── CURRICULUM.md             role-level coverage map
├── PREREQUISITES.md          assumed entry skills
├── VERSIONS.md               release history
└── README.md                 this file

Paired Solutions Repo

rag-engineer-solutions carries the reference implementations.

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Maintained by VeriSwarm.ai