Linghua Jin

CocoIndex is an open-source ETL (Extract, Transform, Load) framework designed for AI workloads. It helps prepare data for semantic search and RAG (Retrieval Augmented Generation) applications with built-in data lineage and observability. Key features include:Ultra-Performant Data Transformation: Core engine written in Rust for high-speed processing.Incremental Processing: Keeps source data and target data synchronized effortlessly.Data Lineage and Observability: Provides insights into data transformations for better understanding and debugging.Low-Code Dataflows: Declare transformations with minimal code, using Python.Ideal for:Data scientists building AI applicationsMachine learning engineers managing data pipelinesDevelopers working on semantic search and RAG systemsCocoIndex offers exceptional developer velocity, allowing you to get production-ready data pipelines up and running quickly with minimal code.