当前已部署:maritime (8080)、finance (8082)、travel (8081,是 API 不是 demo)
127.0.0.1:8000 ✅127.0.0.1:11435 ✅lambdagentpaas:latest docker 镜像 ✅/home/67/qademo/app.py (config-driven) ✅/home/67/qademo/deploy_domain.sh ✅/home/67/qademo/instance.yml.template ✅mkdir -p /home/67/knowledge/customs/{raw,processed,wiki}
# 把原始文档放进 raw/
cp -r /path/to/customs_pdfs/* /home/67/knowledge/customs/raw/
# 直接从 maritime 复制 (代码完全相同, 仅 config.py 路径解析)
cp /home/67/knowledge/maritime/{search_engine.py,search_engine_v2.py,search_unified.py,graph_engine.py,config.py} \
/home/67/knowledge/customs/
cd /home/67/knowledge/customs
# 生成 BM25 + vector 索引 (复用 maritime 的 build 脚本)
python3 /home/67/knowledge/maritime/build_index.py # 或对应的索引构建命令
应产生:
rag_index.json (BM25)rag_index.keywords.jsonrag_vectors_v2.npy (vector)rag_vectors_meta_v2.pklcp /home/67/qademo/instance.yml.template \
/home/67/knowledge/customs/instance.yml
# 把所有 {{DOMAIN}} 替换成 customs, {{PORT}} 替换成新端口 (如 8083)
sed -i 's/{{DOMAIN}}/customs/g; s/{{PORT}}/8083/g' \
/home/67/knowledge/customs/instance.yml
# 编辑 systemPrompt + 5 个 examples + tagline (TODO 标记处)
vi /home/67/knowledge/customs/instance.yml
/home/67/qademo/deploy_domain.sh customs
输出:
[1/6] Validating /home/67/knowledge/customs ...
[2/6] Parsing /home/67/knowledge/customs/instance.yml ...
agent template: qaagent67lambda
port: 8083
[3/6] Checking port 8083 availability ...
[4/6] No existing customs-qa — fresh deploy
[5/6] Starting customs-qa on port 8083 ...
[6/6] Waiting for http://127.0.0.1:8083/ to become ready ...
✅ customs-qa ready
URL: http://qa.lambdagent.cn:8083/
浏览器打开 http://qa.lambdagent.cn:8083/ 即可。
# 重启某个领域
/home/67/qademo/deploy_domain.sh customs --rebuild
# 查日志
docker logs -f customs-qa
# 改 demo 文案/示例 → 改 instance.yml → 直接重启容器即可 (无需 rebuild)
vi /home/67/knowledge/customs/instance.yml
docker restart customs-qa
# 列出所有 QA 实例
docker ps --filter name=-qa --format 'table {{.Names}}\t{{.Status}}'
| 想改 | 改这里 |
|---|---|
| 网页标题/副标题/输入框提示 | demo.title / demo.tagline / demo.placeholder |
| 默认 5 个示例问题 | demo.examples[] |
| 端口 | demo.port |
| LLM 模型 | model.name |
| 检索权重 | retrieval.weights.* |
| RAG 系统提示词 | systemPrompt + prompts.* |
| 知识库路径 | knowledge.baseDir (其余自动派生) |
无需碰 app.py、Dockerfile、docker run 命令。