ruomengh/opea-docs

This repo contains documents of the OPEA project

Important Info

OPEA sits within the LF AI & Data Foundation.

• Website: https://opea.dev/
• X/Twitter: https://twitter.com/opeadev
• Linkedin: https://www.linkedin.com/company/opeadev/
• Github: https://github.com/opea-project
• Contact us at: [email protected]

Mission: Create an open platform project that enables the creation of open, multi-provider, robust, and composable GenAI solutions that harness the best innovation across the ecosystem.

The OPEA platform includes:

• Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines
• Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows
• A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness

Check out the LF AI & Data Press Release and Intel's blog post.

Technical Steering Committee

• Ke Ding, Senior Prinicipal AI Engineer, Intel
• Malini Bhandaru, Senior Principal Engineer, Intel
• Amr Abdelhalem, SVP, Head of Cloud Platforms, Fidelity
• Robert Hafner, Senior Prinicipal Architect, Comcast
• Steven Grubb, Senior Principal Engineer, Red Hat
• Nathan Cartwright, Chief Architect - AI, CDW
• Logan Markewich, Founding Software Developer, LlamaIndex
• Justin Cormack, CTO, Docker

Member companies at launch:

• Anyscale
• Cloudera
• Datastax
• Domino Data Lab
• Hugging Face
• Intel
• KX
• MariaDB Foundation
• MinIO
• Qdrant
• Red Hat
• SAS
• VMware by Broadcom
• Yellowbrick Data
• Zilliz