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Generative AI Examples v1.0 Release Notes source code.tar.gz | 2024-09-20 | 20.8 MB | |
Generative AI Examples v1.0 Release Notes source code.zip | 2024-09-20 | 21.4 MB | |
README.md | 2024-09-20 | 46.3 kB | |
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OPEA Release Notes v1.0
What’s New in OPEA v1.0
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Highlights
- Improve the RAG performance through microservice optimizations (e.g., Hugging Face TGI, vLLM) and megaservice tuning
- Provide the experimental LLM model training support, includes full fine-tuning and parameter-efficient fine-tuning (PEFT)
- Improve RAG with Knowledge Graph based on Neo4j
- Improve VisualQnA and provide multi-modality RAG support
- Faster microservice launch through removal of some dispatch overhead
- Enable Gateway with guardrail, and integrate nginx with CORS protection and data preparation
- Enable HorizontalPodAutoscaler (HPA) for better resource management
- Define the metrics of RAG performance and enable accuracy evaluation for more GenAI examples
- Further improvement on documentation and developer experience
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Other features
- Enable OpenAI compatible format on applicable microservices
- Support microservice launch from ModelScope to address China ecosystem need
- Support Red Hat OpenShift Container Platform (RHOCP)
- Refactor the code and CI/CD pipeline to provide better support for contributors
- Improve Docker versioning to avoid the potential conflict
- Enhance GenAI Microservice Connector (GMC), including improvements such as router performance optimizations and other updates
- Introduce Memory Bandwidth Exporter that integrates with Kubernetes Node Resource Interface
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Learn more about OPEA at
- Getting Started: https://opea-project.github.io/latest/index.html
- Github: https://github.com/opea-project
- Docker Hub: https://hub.docker.com/u/opea
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Release Documentation:
- Landing Page: https://opea.dev/
- Release Notes: https://github.com/opea-project/docs/tree/main/release_notes