The project is a domain-specific Q&A system for code documentation.The project is a domain-specific Q&A system for code documentation. You fine-tune a pretrained language model on a code documentation dataset (CodeSearchNet) using TensorFlow, making it better at understanding code-related queries than a generic model. You then plug that fine-tuned model into a RAG pipeline ,chunking a documentation corpus, embedding it, storing it in a vector DB, and using your model for retrieval , so the whole system can answer real coding questions by pulling relevant docs and generating grounded responses.
