MEF.DEV Platform v.2.2.6.16 Release Notes

[Gregory Ostapenko]

MEF.DEV Platform Version 2.2.6.16: Empowering Developers with Advanced AI Capabilities
The MEF.DEV team is excited to announce the release of version 2.2.6.16. It is a significant update that integrates cutting-edge AI technologies and enhances the platform's functionality to support developers in creating innovative solutions.

Seamless AI Integration
In this release, we've embedded several powerful AI tools to elevate the development experience:

• ONNX Runtime: Incorporated to facilitate accelerated machine learning model inference, ensuring high performance across various platforms.
• ONNX Runtime Generative AI Extensions: Enable developers to implement generative AI models efficiently, opening new ways for AI-driven applications.
• pgvector: Integrated to provide open-source vector similarity search capabilities within PostgreSQL, allowing for efficient handling of high-dimensional data.
• Npgsql Data Provider: Ensures robust and seamless .NET access to PostgreSQL databases, enhancing data operations and management.
• NVIDIA CUDA Toolkit and cuDNN Library: Leveraged to accelerate deep learning computations, providing developers with the tools necessary for high-performance AI applications.

Enhanced BPMN Engine and OpenAPI Exposure
Version 2.2.6.16 introduces advanced functions into the BPMN engine and OpenAPI exposure.

• AI Embeddings: Transform input text into vector representations, facilitating seamless integration with machine learning models and algorithms.
• AI Chat Completions: Generate model responses for given chat conversations, enabling the development of interactive AI applications.
• Vector Database Management: Create and manage vector databases, execute queries, and perform vector searches, all within the platform's ecosystem.
• Document Upload and Retrieval: Upload documents and retrieve vector representations, streamlining the process of incorporating unstructured data into your applications.

These features are accessible through our enhanced OpenAPI interface, providing a standardized and user-friendly approach to integrating AI functionalities into your workflows. For more information, check the following link: https://app.swaggerhub.com/apis/MEF.DEV/mef-dev-ai-vector/v2.2.6.16

Elevate Your Development with MEF.DEV
Version 2.2.6.16 is designed to empower developers by providing advanced AI tools and seamless integration capabilities. We invite you to explore these new features and elevate your development projects with MEF.DEV.

Useful Links:
1. Online technical preview: https://preview.mef.dev/rflnk/wsvfcV0ECUiTog2b/v2PmCJMkMdhSXKjoyJe5Ziwl6L2/sEhxbNHs0/K9YZqm+xt
2. Helm chart templates for mef-dev apps in Kubernetes: https://github.com/mef-dev/k8s
3. The MEF.DEV platform in a Docker Container: https://github.com/mef-dev/docker
4. ONNX Runtime: https://onnxruntime.ai
5. ONNX Runtime Generative AI Extensions: https://github.com/microsoft/onnxruntime-genai
6. pgvector: https://github.com/pgvector/pgvector
7. Npgsql Data Provider: https://www.npgsql.org/
8. NVIDIA CUDA Toolkit: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
9. cuDNN Library: https://docs.nvidia.com/deeplearning/cudnn/latest/
10. Other MEF.DEV's enhancements: https://app.swaggerhub.com/apis/MEF.DEV/mef-dev-ai-vector/v2.2.6.16