$ ls -lh ~/projects

projects/

// selected work (2)

./rag-lab

2026 shipped
rag-lab

Browser-based RAG learning app that runs 100% locally — no server, no API keys, no data leaving the tab.

  • - Runs embeddings and generation entirely in-browser via Hugging Face Transformers.js.
  • - Visualizes the full pipeline: chunking, embeddings, retrieval, and generation in real time.
  • - Upload your own text, ask questions, and watch every retrieval step as it happens.
Transformers.js WebAssembly TypeScript React
→ raglab.ainikhil.com

./agentic-rag-system

2025 wip
agentic-rag-system

Retrieval-Augmented Generation system with multi-agent workflows for context-aware answers over private documents.

  • - Multi-agent orchestration with LangGraph for retrieval, grading, and re-query loops.
  • - Advanced document retrieval over a vector store with relevance filtering.
  • - Context-aware responses grounded in retrieved source material.
Python LangGraph LangChain Vector DB