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weave-stack

Official

Deploy and operate complete RAG stacks.

Data & Analytics#monitoring#rag#dashboard#kubernetes#deploy#stack#milvus
AuthorMaximilien-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Deploy and operate complete RAG infrastructure stacks to provision, manage, and monitor end-to-end data pipelines, vector databases, and dashboards with a single, cohesive workflow.

Core Features & Use Cases

  • Stack initialization: generate weave-stack.yaml and configure runtime, vector DB, and ingestion settings.
  • Deployment & operations: deploy to local or cloud runtimes (Kind, Minikube, EKS, GKE), monitor health, and perform day-2 ops (backup, scaling, security patches).
  • Dashboard and observability: manage the weave dashboard UI for centralized control and monitoring.
  • Use Case: A data team needs a production-ready RAG stack with Milvus for vector storage, MinIO for object storage, and a unified dashboard, which this skill provides from setup to ongoing maintenance.

Quick Start

Initialize weave-stack.yaml, configure resources, and deploy the complete RAG infrastructure with weave stack up.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: weave-stack
Download link: https://github.com/Maximilien-ai/weave-cli-skills/archive/main.zip#weave-stack

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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