ETL
Extract, Transform, Load (ETL) is a core data integration process for consolidating data from disparate sources into a unified target system (e.g., data warehouse or knowledge graph). It comprises:
- Extract: Pulling raw data from sources (databases, documents, APIs).
- Transform: Cleaning, normalizing, and enriching data (e.g., entity extraction via LLM).
- Load: Storing transformed data into target systems (e.g., Neo4j graph database).
Modern Applications
- Cocoindex framework for LLM-powered rag knowledge graphs: Processes markdown documents to extract entities/relationships via LLM and loads structured data into Neo4j, enabling real-time knowledge graph applications (see: 2026 04 14 Cocoindex channel and knowledge Graphs for LLM RAG).