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Pathway AI

Real-time data processing framework for AI pipelines with live data streaming

AI Infrastructure & MLOps
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Pathway AI

Real-time data processing framework for AI pipelines with live data streaming

Pathway is an open-source data processing framework designed for building real-time AI and ML pipelines that can react to live data streams. It uses a unified programming model for both batch and streaming data, enabling developers to write data transformation logic once and apply it to historical and live data without code changes. Pathway integrates with Kafka, Postgres, cloud storage, and various AI services, making it particularly suited for RAG pipelines that need to continuously update as new documents arrive. ML engineers building real-time inference pipelines, data engineers creating reactive data systems, and AI developers building live-updating RAG systems use Pathway for its unified batch-streaming programming model.

Key Features

  • Real-time streaming
  • Batch unification
  • RAG pipelines
  • Kafka integration
  • Open-source
#streaming#data-pipelines#rag#real-time#open-source

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Quick Info

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AI Infrastructure & MLOps
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