镜像概览

完整引用
docker.io/xixihahaliu01/qanything-win
Registry
docker.io
命名空间
xixihahaliu01
仓库
qanything-win
已缓存 Tag 数
2
最近同步
07/06/2026, 06:07 AM

简介

QAnything 知识库问答 RAG 系统镜像,支持文档上传与向量检索问答,需 GPU 与 Milvus/Elasticsearch 依赖栈。

详细介绍

xixihahaliu01/qanything-win 运行 QAnything RAG 服务,提供 Web UI 上传文档并基于向量检索回答。定位为 RAG Web 应用,需 GPU、向量库与 embedding 模型 cache;docker compose 全栈或 K8s 多组件部署。

快速启动

docker run -d --name qanything \
  -p 8777:8777 \
  --gpus all \
  docker.io/xixihahaliu01/qanything-win:latest

推荐实践

docker run -d --name qanything \
  --restart unless-stopped \
  -p 8777:8777 \
  --gpus all \
  -v /data/qanything:/data \
  -e MILVUS_HOST=milvus:19530 \
  docker.io/xixihahaliu01/qanything-win:1.4.0

核心参数说明

  • -p 8777:8777 — RAG Web UI/API 端口
  • --gpus all — embedding/推理 GPU 加速
  • -e MILVUS_HOST — 向量库地址
  • -v .../qanything:... — 文档与模型缓存

Kubernetes

apiVersion: apps/v1
kind: Deployment
metadata:
  name: qanything
spec:
  replicas: 1
  selector:
    matchLabels:
      app: qanything
  template:
    metadata:
      labels:
        app: qanything
    spec:
      containers:
        - name: qanything
          image: docker.io/xixihahaliu01/qanything-win:1.4.0
          ports:
            - containerPort: 8777
          volumeMounts:
            - name: data
              mountPath: /data
          env:
            - name: MILVUS_HOST
              value: milvus:19530
      volumes:
        - name: data
          persistentVolumeClaim:
            claimName: qanything-data
---
apiVersion: v1
kind: Service
metadata:
  name: qanything
spec:
  selector:
    app: qanything
  ports:
    - port: 8777
      targetPort: 8777

Milvus 独立部署;GPU 节点池可选。

最新 Tag(20 条)

查看全部 2 个 Tag →
Tag架构推送时间大小Digest同步期望操作
docker.io/xixihahaliu01/qanything-win
:v1.5.1
linux/amd64
2024/08/01 15:324.9 GBsha256:171479365256
docker.io/xixihahaliu01/qanything-win
:v1.5.0
linux/amd64
2024/08/01 15:164.9 GBsha256:211c931b44a3