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@opea-project

OPEA [Open Platform for Enterprise AI]

OPEA is an ecosystem orchestration framework to integrate performant GenAI technologies & workflows leading to quicker GenAI adoption and business value.

OPEA is an open platform project that lets you create 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

Read more about OPEA at opea.dev and explore the OPEA technical documentation at opea-project.github.io

Popular repositories Loading

  1. GenAIExamples GenAIExamples Public

    Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

    Shell 265 185

  2. GenAIComps GenAIComps Public

    GenAI components at micro-service level; GenAI service composer to create mega-service

    Python 68 135

  3. GenAIInfra GenAIInfra Public

    Containerization and cloud native suite for OPEA

    Go 30 56

  4. docs docs Public

    This repo contains documents of the OPEA project

    Python 26 52

  5. GenAIEval GenAIEval Public

    Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination

    Python 22 39

  6. GenAIStudio GenAIStudio Public

    GenAI Studio is a low code platform to enable users to construct, evaluate, and benchmark GenAI applications. The platform also provide capability to export developed application as a ready-to-depl…

    JavaScript 4 5

Repositories

Showing 10 of 19 repositories
  • opea-project/opea-project.github.io’s past year of commit activity
    HTML 0 Apache-2.0 5 0 0 Updated Nov 9, 2024
  • GenAIComps Public

    GenAI components at micro-service level; GenAI service composer to create mega-service

    opea-project/GenAIComps’s past year of commit activity
    Python 68 Apache-2.0 135 47 26 Updated Nov 8, 2024
  • GenAIExamples Public

    Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

    opea-project/GenAIExamples’s past year of commit activity
    Shell 265 Apache-2.0 185 117 (1 issue needs help) 44 Updated Nov 8, 2024
  • GenAIInfra Public

    Containerization and cloud native suite for OPEA

    opea-project/GenAIInfra’s past year of commit activity
    Go 30 Apache-2.0 56 40 (2 issues need help) 17 Updated Nov 8, 2024
  • GenAIEval Public

    Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination

    opea-project/GenAIEval’s past year of commit activity
    Python 22 Apache-2.0 39 19 3 Updated Nov 8, 2024
  • GenAIStudio Public

    GenAI Studio is a low code platform to enable users to construct, evaluate, and benchmark GenAI applications. The platform also provide capability to export developed application as a ready-to-deploy package for immediate enterprise integration.

    opea-project/GenAIStudio’s past year of commit activity
    JavaScript 4 Apache-2.0 5 0 0 Updated Nov 8, 2024
  • opea-project/Validation’s past year of commit activity
    Shell 0 Apache-2.0 3 0 2 Updated Nov 7, 2024
  • docs Public

    This repo contains documents of the OPEA project

    opea-project/docs’s past year of commit activity
  • opea-project/Security-Working-Group’s past year of commit activity
    3 Apache-2.0 4 0 0 Updated Oct 3, 2024
  • .github Public
    opea-project/.github’s past year of commit activity
    0 2 0 1 Updated Sep 5, 2024

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