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v0.1.0

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@github-actions github-actions released this 29 Dec 07:40
· 632 commits to main since this release
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arcadia-v0.1.0

Welcome to this new release! Our first release towards one-stop LLMOps!

Images built for this release:

  • kubeagi/arcadia:v0.1.0
  • kubeagi/data-processing:v0.1.0

Breaking Changes:

None

Feature summary 🚀 🚀 🚀

  1. Dataset management
  • Manage data by integrating with object storage(s3), view excel file and add label to different data types
  • Versioned dataset management with default datasource ObjectStorageService
  • Comprehensive data processing capabilities: data cleaning, text splitting (e.g., text segmentation, QA splitting using LLM)
  • RDMA as an optional storage service that can speed up model/data download by about 10 times
  1. AI Knowledgebase
  • Auto QA Embedding generation and indexing
  • Chromadb as the vector store by default
  1. AI Model and Inference Service
  • Manage the lifecycle of model and Inference Service
  • Able to host llm and embedding models in Kubernetes via our Worker protocol: qwen, baichuan, vicuna, chatglm, bge-large-zh-v1.5, etc...
  • Able to integrate with powerful 3rd_party providers, like zhipuai, openai, etc...
  • Model loading accelerations with rdma network protocols
  • Support CPU & GPU Model Serving
  1. LLM Applications
  • A powerful and flexible Application Runtime
  • GPTs - initial implementation of LLM application orchestration capabilities. Manage and orchestrate Prompt, LLM/Retriever Chain nodes, and provide relevant example applications (based on streamlit)
  • Provide LLMChain and RetrivalQAChain for common LLM applications and RAG applications
  • Create/debug typical GPT like application using web console easily
  • Support blocking and SSE mode chat
  1. A all-in-one deployment helm chart

  2. Documentation online doc link

Changelog

New Features

Bug Fixes

Others

Thanks to our Contributors!

Thank you to everyone who contributed to v0.1.0! ❤️

And thank you very much to everyone else not listed here who contributed in other ways like filing issues, giving feedback, testing fixes, helping users in slack, etc. 🙏