ๅบไบๅคงๆจกๅๅ RAG ็ๆบ่ฝ้ฎๆฐ็ณป็ป๏ผๅฏน่ฏๅผๆฐๆฎๅๆ็ฅๅจใText-to-SQL Generation via LLMs using RAG.
docker pull registry.cn-qingdao.aliyuncs.com/dataease/sqlbot
docker run -d --name sqlbot --restart always registry.cn-qingdao.aliyuncs.com/dataease/sqlbot:SQLBOT_TAG
podman run -d --name sqlbot --restart always registry.cn-qingdao.aliyuncs.com/dataease/sqlbot:SQLBOT_TAG
skopeo inspect docker://docker.io/registry.cn-qingdao.aliyuncs.com/dataease/sqlbot:SQLBOT_TAG
oras pull registry.cn-qingdao.aliyuncs.com/dataease/sqlbot:SQLBOT_TAG
docker compose up -d
services:
sqlbot:
image: registry.cn-qingdao.aliyuncs.com/dataease/sqlbot:SQLBOT_TAG
container_name: sqlbot
restart: always
privileged: true
networks:
- sqlbot-network
ports:
- ${SQLBOT_WEB_PORT}:8000
- ${SQLBOT_MCP_PORT}:8001
env_file:
- conf/sqlbot.conf
volumes:
- ./data/sqlbot/excel:/opt/sqlbot/data/excel
- ./data/sqlbot/file:/opt/sqlbot/data/file
- ./data/sqlbot/images:/opt/sqlbot/images
- ./data/sqlbot/logs:/opt/sqlbot/app/logs
- ./data/postgresql:/var/lib/postgresql/data
networks:
sqlbot-network: