/opea_docs

This repo contains documents of the OPEA project

Important Info

OPEA sits within the LF AI & Data Foundation.

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