Mage

About

Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications.

Data engineers and data professionals use Mage to build, run, and manage data pipelines, AI/ML pipelines, build Retrieval Augmented Generation systems (RAG), and LLM orchestration.

Mage is the only data platform that combines vital data engineering capabilities to make AI engineering more accessible.

Chat: https://mage.ai/chat
Open source: https://github.com/mage-ai/mage-ai

Keywords

ai, ml, data engineering, data pipelines, llm, llm orchestration, data integration, rag, augmented retrieval generation, transformation, orchestration, streaming pipelines

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