📂 Automatisation Ia 👁 2.9k views 🕐 May 26, 2026

Pathway

Pathway is a post-transformer frontier model designed for continual learning, created by.

Pathway is a post-transformer frontier model designed for continual learning, created by scientists and researchers. It is suitable for teams and individuals working on AI and machine learning projects, particularly those requiring real-time data processing and long-horizon reasoning.
The Pathway Framework is a scalable data processing framework that enables users to build and power AI/ML applications with live data and real-time pipelines. It includes features such as 20+ app templates, basic RAG pipelines, and enterprise data source connectors for Sharepoint, Delta Table, Iceberg, BigQuery, Elastic Search, and Quest DB.
Data scientists, machine learning engineers, and researchers get the most value from Pathway, as it provides a solution for continual learning and real-time data processing, allowing them to focus on developing and improving their AI/ML models.

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Features
Pathway Framework
a scalable data processing framework for building and powering AI/ML applications with live data and real-time pipelines.
Post-Transformer Model
the first model to solve continual learning, enabling long-horizon reasoning and real-time data processing.
RAG Pipelines
flexible plans for collections of any size, including onboarding up to 100,000 indexed pages and 1,000 data retrievals per day.
Enterprise Data Source Connectors
supporting Sharepoint, Delta Table, Iceberg, BigQuery, Elastic Search, and Quest DB for seamless data integration.
Verdict
Best forTeams doing Automatisation Ia work who need consistent output without a steep learning curve.
Skip ifYou only need this once or twice; the subscription cost won't pay off for occasional use.
Pathway's post-transformer model enables continual learning, allowing for more accurate and efficient AI/ML model development.
The Pathway Framework is scalable and robust, supporting real-time data processing and long-horizon reasoning.
Pathway offers flexible pricing plans, including a free tier with up to 8 GB RAM and 4 cores, making it accessible to a wide range of users.
Pathway's post-transformer model may require significant computational resources, which can be a limitation for users with limited hardware capabilities.
The Pathway Framework has a self-hosted setup, which can be challenging for users without experience in deploying and managing AI/ML infrastructure.
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Frequently Asked Questions
Pathway is a post-transformer frontier model designed for continual learning, created by scientists and researchers. It is suitable for teams and individuals working on AI and machine learning projects.
Pathway enables continual learning, real-time data processing, and long-horizon reasoning, making it an ideal solution for AI/ML applications and research.
Pathway requires significant computational resources, and the self-hosted setup can be challenging for users without experience in deploying and managing AI/ML infrastructure.
Pathway's post-transformer model and real-time data processing capabilities make it a unique solution in the AI/ML landscape, offering advantages in continual learning and long-horizon reasoning.
Pathway offers a free tier and flexible pricing plans, including the 'Pilot' and 'Enterprise Pilot' plans, with the exact pricing for the paid tiers not publicly available.
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