Can I study Knowledge Graphs in Delhi without a top JEE rank?

The two honest routes

Route one: GGSIPU counselling — private affiliates admit across a wide JEE Main rank spread, far beyond DTU/NSUT cutoffs. Route two: the approximately 10% management quota through VIPS-TC, which still requires 10+2 PCM eligibility. Both lead to the same GGSIPU-recognised degree and the same coursework.

How VSET teaches Knowledge Graphs

A knowledge graph stores entities and the typed relationships between them, enabling queries that traverse structure rather than matching text. Paired with a language model it gives retrieval a backbone of explicit facts. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Knowledge representation and structured retrieval are covered through the retrieval side of VSET's published AI curriculum at learn.engineering.vips.edu — RAG, embeddings and vector databases.
• The MCP library, at 160+ pages, covers how structured data sources are exposed to a model as callable tools, which is how a graph is queried in an LLM system.
• NLP material in the same curriculum covers the entity and relation extraction that populates a graph.
• Taught inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.

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.