FlowiseAI/Flowise

[FEATURE] SageMaker Endpoint Model

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#1,050 建立於 2023年10月13日

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 (3 留言) (1 反應) (0 負責人)TypeScript (52,823 star) (24,335 fork)batch import
enhancementhelp wanted

描述

Hi, my team and I are trying to implement Flowise for our GenAI projects. We are wondering if there is a way to invoke ChatModels/LLMs/Embeddings through AWS SageMaker Endpoints similar to how HuggingFaceInference Endpoints operate.

For example, we have subscribed to a Cohere Embedding Model via AWS Marketplace and wish to use it as our embedding model as deployed as a SageMaker Endpoint.

Thanks!

貢獻者指南

技術棧
typescriptaws
領域
backendcloud
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
3-5 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
fresh
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
AWS SageMaker knowledgeFlowise development setup
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
35
研究方向
This issue requests support for AWS SageMaker endpoints similar to existing HuggingFace Inference integration. Implementation would require creating a new credential type and node for ChatModels/LLMs/Embeddings using AWS SDK v3. Relevant files to examine are in packages/components/nodes/chatmodels and embeddings. The maintainer has not yet provided specific guidance; reviewing existing HuggingFace node patterns will help. The user did not specify model details, so flexibility is needed.