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 applications
- Machine learning engineers managing data pipelines
- Developers working on semantic search and RAG systems
CocoIndex offers exceptional developer velocity, allowing you to get production-ready data pipelines up and running quickly with minimal code.
