Digital India Corporation, MeitY
2025 - 2025
📍 On-site
Intern
Developed a document-grounded RAG assistant with LangChain, Ollama (Gemma 3), FAISS, and FastAPI, enabling scalable semantic retrieval and inference from internal PDFs.
- Designed and implemented a document-grounded Retrieval-Augmented Generation (RAG) assistant using LangChain and Ollama (Gemma 3), leveraging open-source embedding models to vectorize internal PDF content for high-accuracy semantic retrieval
- Built end-to-end preprocessing and chunking pipelines for unstructured data, fine-tuned document retrieval with FAISS, and integrated the system with FastAPI to expose scalable inference endpoints; also documented APIs and conducted functional validation
- AI
- RAG
- Python
- Langchain
- FAISS
