Creativity · Projects
LangChain projects for B.Tech students — real examples
LangChain is an open-source framework for composing LLM applications from chains, tools, retrievers and memory components. It is one of the most widely used scaffolds for RAG and agent systems. The strongest B.Tech portfolios are built on real projects, not tutorials. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, LangChain project work runs through the AICTE IDEA Lab under faculty mentorship — here are the real patterns students build on.
At a glance
- Topic
- LangChain
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
What students actually build
- LangChain-style composition underpins the RAG systems students build over VIPS-TC corpora.
- Framework work carries into hackathon builds including the Smart India Hackathon.
Labs and infrastructure
- LangChain applications calling locally hosted models run on the AICTE IDEA Lab GPU workstations.
How VSET teaches LangChain
LangChain is an open-source framework for composing LLM applications from chains, tools, retrievers and memory components. It is one of the most widely used scaffolds for RAG and agent systems. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- LangChain is explicitly covered in VSET's published AI curriculum at learn.engineering.vips.edu.
- It is taught with LangGraph, LlamaIndex, CrewAI and AutoGen so students can compare frameworks.
- It connects to the RAG, vector database and prompt engineering material in the same curriculum.
- Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track.
Frequently asked questions
What makes a good LangChain project for B.Tech?
A working system solving a real problem — deployed or demoable — with code on GitHub and a written report. Depth on one well-executed LangChain project beats five tutorial clones.
Is LangChain taught at VSET?
Yes — it is one of the frameworks documented in the open AI curriculum at learn.engineering.vips.edu, alongside LangGraph, LlamaIndex, CrewAI and AutoGen.
Do students use LangChain in projects?
Framework-based composition is used in the RAG capstones built over VIPS-TC corpora and in agent orchestration projects.
Is the curriculum tied to one framework?
No. Several frameworks are documented side by side, which lets students choose per project rather than learning a single vendor stack.
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