WebRAG – Scalable RAG Engine
High-concurrency RAG system built with Gemini-embedding-001 and Qdrant for low-latency document retrieval
Python FastAPI Celery Qdrant
+4
Pre-final year at NIT Karnataka — writing code, shipping products, thinking in systems.
High-concurrency RAG system built with Gemini-embedding-001 and Qdrant for low-latency document retrieval
LangGraph-powered stateful workflow for autonomous financial news analysis and stock insights