How to learn Chunking Strategies after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Chunking Strategies depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & DS) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Chunking Strategies

Chunking decides how source documents are cut into retrievable passages — by fixed size, by structure, or by semantic boundary — and how much they overlap. It quietly determines whether a RAG system retrieves anything useful. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).

• Chunking is part of the RAG and retrieval material published at learn.engineering.vips.edu.
• It is taught with embeddings and vector databases, since chunk size directly changes what an embedding represents.
• LangChain and LlamaIndex, both documented in the curriculum, provide the splitting components students work with.
• Delivered inside the B.Tech CSE (AI & DS) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where Chunking Strategies skills lead

Graduates applying Chunking Strategies skills typically target roles such as AI Engineer, Search / Retrieval Engineer, Data Engineer, LLM Application Developer, NLP Engineer. 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.