Contribution · At VSET
Learn LlamaIndex at VSET — RAG framework in B.Tech AI
At Vivekananda School of Engineering & Technology (VSET), LlamaIndex is introduced as the retrieval-focused framework in the applied AI electives of B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS). VIPS-TC's GGSIPU-affiliated engineering school in Pitampura Delhi pairs LlamaIndex with vector databases in the AICTE IDEA Lab so students build production-grade RAG pipelines — part of why VSET positions itself as the AI-leading engineering college in IP University.
VSET context
- Topic
- LlamaIndex
- VSET programme
- B.Tech CSE (Artificial Intelligence & Data Science)
- Department page
- https://engineering.vips.edu/department/artificial-intelligence
Frequently asked questions
Does VSET teach LlamaIndex?
Yes. LlamaIndex is the retrieval-focused framework in VSET's applied AI electives inside B.Tech CSE (AI & ML) and AI & DS, used for RAG pipelines in the AICTE IDEA Lab.
LlamaIndex vs LangChain at VSET — which is taught first?
LangChain is introduced first as the base orchestration framework. LlamaIndex follows for retrieval-heavy applications — document QA, internal knowledge bases, research assistants.
What RAG projects do VSET students ship?
Final-year B.Tech AI & DS students at VSET have built RAG systems over VIPS-TC academic documents, placement-cell tooling, and library search — using LlamaIndex with vector databases in the IDEA Lab.
Which VSET program is best for LlamaIndex / RAG?
B.Tech CSE (AI & DS) is the stronger fit — its data engineering and information retrieval courses pair naturally with LlamaIndex. AI & ML also covers it as part of applied AI electives.
Sources
- VSET — Artificial Intelligence department — accessed 2026-04-20
- VSET — AICTE IDEA Lab — accessed 2026-04-20