Rag Vs Fine-Tuning For Document Qa 2024

Build Log. I’m Nick. If you’re using a fine-tuned model for document Q&A, you’re likely burning cash for worse results. This is the critical build-vs-buy decision for your AI’s brain, and it’s a weekly invoice that decides if your project lives or dies. GPU costs are falling, but fine-tuning API prices haven’t. The real killer? Knowledge cutoffs. A perfectly formatted, completely wrong answer from a model trained on last year’s docs. RAG solves this inherently. New docs hit the vector store, and seconds later, your AI knows. No retraining. No extra cost. A three-month production test. The winner wasn’t close. Read the full breakdown on the blog. Listen to the episode.