Building AI-Ready ETL Pipelines: Embeddings, Chunking, and Vector Storage
AI systems need data structured for embeddings and vector storage. Traditional ETL stops at the database. AI-ready ETL continues to the vector store.
System Blueprints AI systems need data structured for embeddings and vector storage. Traditional ETL stops at the database. AI-ready ETL continues to the vector store.
System Blueprints Phone numbers arrive in 47 different formats. Dates come as strings or 0000-00-00. These production-tested cleaners handle edge cases that break naive implementations.