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We are thrilled to announce the latest addition to the LF AI & Data Foundation: RYOMA, an innovative AI-powered agentic framework, now joining our ecosystem as a Sandbox-stage project. RYOMA is designed to tackle complex data challenges efficiently and robustly, offering a versatile toolset for enterprises aiming to streamline their data operations. This exciting addition underscores our ongoing commitment to bringing cutting-edge, community-driven AI solutions to the forefront of data innovation.

What is RYOMA?

RYOMA is designed to solve complex data problems efficiently and robustly. By leveraging advanced AI techniques, RYOMA streamlines the entire data lifecycle, from data ingestion and preprocessing to analysis and decision-making. It empowers organizations to maximize the value of their data, enabling them to tackle even the most challenging use cases with ease.

Built with scalability and flexibility in mind, RYOMA can be tailored to fit a wide range of industries and applications, making it a versatile tool for businesses aiming to stay ahead in the competitive landscape. Whether you’re working with structured or unstructured data, RYOMA’s agentic capabilities ensure that your data is handled with precision and intelligence.

RYOMA integrates a variety of technologies and frameworks to enhance data analysis, engineering, and visualization including Langchain, Reflex, Apache Arrow, Jupyter Ai Magics, Amundsen, Ibis, and Feast.

Amplifying RYOMA’s Impact through LF AI & Data Collaboration

Joining the LF AI & Data Foundation as a Sandbox-stage project offers RYOMA the opportunity to tap into the rich resources and collaborative environment that our community provides. By being part of this ecosystem, RYOMA will benefit from:

  • Community Collaboration: Access to a global network of developers, data scientists, and industry experts who can contribute to the project’s growth and development.
  • Open-Source Governance: A structured and transparent governance model that ensures the project’s direction aligns with community needs and best practices.
  • Resource Support: Leverage LF AI & Data’s infrastructure, marketing, and legal resources to accelerate project adoption and impact.
  • Exposure and Outreach: Increased visibility within the open-source community and among potential adopters through LF AI & Data’s extensive outreach channels.

“Contributing RYOMA to LF AI & Data marks an important milestone for our project. The LF AI & Data ecosystem offers an unparalleled platform for collaboration and innovation, and we are eager to work with the community to further enhance RYOMA’s capabilities. We are confident that with the support of LF AI & Data, RYOMA will become a vital tool for organizations looking to leverage AI in their data strategies.” – Hao Xu, Lead Software Engineer at JPMorgan & Chase

“We are excited to welcome RYOMA to the LF AI & Data Foundation as a Sandbox project. RYOMA represents a significant advancement in AI-powered frameworks, and we believe that its inclusion in our ecosystem will provide tremendous value to our community and beyond. The open-source collaboration model will be instrumental in driving RYOMA’s evolution and adoption across industries.” – Ibrahim Haddad, Executive Director of LF AI & Data

For more information on how to get involved with RYOMA, integrate it into your projects, or stay updated with its developments, please visit the RYOMA GitHub page or project-ryoma.org. Join us in making RYOMA a cornerstone of the AI-driven future.

LF AI & Data Resources

Access other resources on LF AI & Data’s GitHub or Wiki