How to learn Semantic Search after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Semantic Search 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 Semantic Search

Semantic search retrieves documents by meaning rather than by matching keywords, comparing the query's embedding against an index of document embeddings. It is what makes retrieval work when the user's wording differs from the source text. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).

• Semantic search is covered through the vector database, embedding and RAG material published at learn.engineering.vips.edu.
• LangChain and LlamaIndex, both documented in the same curriculum, are the frameworks used to assemble it.
• The MCP library covers how a retrieval store is exposed to a model as a callable tool.
• Delivered inside the B.Tech CSE (AI & DS) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where Semantic Search skills lead

Graduates applying Semantic Search skills typically target roles such as Search / Retrieval Engineer, AI Engineer, Data Engineer, Backend Engineer, LLM Application 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.