Building a Personal RAG Chatbot in a Few Days
SMRTR summary
A software engineer built a personal RAG chatbot in just a few days, using PostgreSQL for vector storage and FastAPI as the backend. Rather than fine-tuning an AI model, the system dynamically retrieves relevant documents to answer questions accurately, with smarter text chunking proving critical to improving response quality.
SMRTR provides this summary for quick context. The original article belongs to Hacker News.
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