New: Check out easy-to-launch Pathway App Templates!

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Powering your RAG and ETL at scale

Easily set up data ingest from 300+ sources with automatic synchronization.

Serve vector search, real-time features, anomaly alerts. Updated in milliseconds.

Get accurate AI insights from terabytes of connected documents and data tables.

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Streamlined Cloud-Native DevelopmentBuilt in Rust with ❤ for Python developers, Pathway streamlines the entire ML/AI project lifecycle from prototype to production. It supports local, notebook, and scaled container deployments.

Fast, and Always In-Sync.Connect live data sources like SharePoint, Google Drive, S3 and Delta Tables, cloud folders, Kafka, databases, and 300+ APIs such as Salesforce and Hubspot. Pathway's high-speed Rust engine delivers real-time updates, and is scalable to hundreds of CPU cores, with cost-efficient incremental computing, persistence, and caching.

A single robust container. You own it.Deploy each of your Pathway applications from a git folder using Docker or Kubernetes, on-premises or in any cloud. Simplify your setup by avoiding multiple databases and compute engines linked by clunky APIs. Gain full control of the pathway that your data follows.

Chef's Choice, or à la carte? Have it your own way.Choose from ready-to-use Pathway code templates suitable for various industries and data types. Customize them using functions from the Pathway library, connectors, and integrations. Safely interact with LLMs and external asynchronous APIs.

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