Data Curation Basics

Establishing a baseline is crucial when starting with data curation for AI models. Properly indexing and chunking documents ensures effective retrieval, while iterating on the pipeline allows for enhancements like re-ranking and fine-tuning models. By focusing on these foundational steps, companies can better leverage their domain-specific data for improved outcomes.