Back to Projects

Semantic RAG Search Engine for Tamil Lyrics

A full-stack, containerized Semantic RAG Search Engine dedicated to Tamil Lyrics. Built using React, FastAPI, and PostgreSQL with pgvector, it leverages Google Gemini AI for advanced Retrieval-Augmented Generation. The platform is fully orchestrated via Docker and Kubernetes to ensure scalable cloud deployment and provides users with hallucination-free, highly relevant stanza search results based on deep vector embeddings.

Project Overview

Project Type

Individual Project

Year

2026

Focus

AI & Full-Stack Development

My Role

Full-Stack AI Engineer

Technologies Used

React
FastAPI
PostgreSQL
Google Gemini
Docker
Kubernetes
Semantic RAG Search Engine for Tamil Lyrics

My Contributions

  • Architected a full-stack, containerized web application using React and FastAPI, orchestrated via Docker and Kubernetes for scalable cloud deployment.
  • Integrated the Google Gemini LLM API to build a Retrieval-Augmented Generation (RAG) system, utilizing vector embeddings to perform highly relevant song stanzas for hallucination free search results.