Curiosity · After 12th
How to learn Retrieval-Augmented Generation after 12th in Delhi
Retrieval-Augmented Generation grounds a language model's output in documents fetched at query time from a search index or vector store. It reduces hallucination and lets models answer over private or current data. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Retrieval-Augmented Generation coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Retrieval-Augmented Generation
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Retrieval-Augmented Generation depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Retrieval-Augmented Generation
Retrieval-Augmented Generation grounds a language model's output in documents fetched at query time from a search index or vector store. It reduces hallucination and lets models answer over private or current data. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- RAG is documented in the published AI curriculum at learn.engineering.vips.edu, alongside vector databases and embedding-based retrieval.
- Retrieval frameworks LangChain and LlamaIndex are both covered in the same curriculum.
- RAG connects to the MCP material, which covers how retrieval tools are exposed to models.
- Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.
Where Retrieval-Augmented Generation skills lead
Graduates applying Retrieval-Augmented Generation skills typically target roles such as AI Engineer, LLM Application Developer, Search / Retrieval Engineer, NLP Engineer, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn Retrieval-Augmented Generation after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Retrieval-Augmented Generation-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Do VSET students build real RAG systems?
Yes. RAG systems built over VIPS-TC corpora are a documented capstone pattern, not just a theory topic.
Which RAG tooling is taught?
The published curriculum covers LangChain, LlamaIndex and vector databases, along with prompt engineering and embeddings.
How does RAG relate to the MCP coursework?
MCP provides the standard interface for exposing retrieval tools and data sources to a model, so student RAG systems and MCP servers are often built together.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31