diff --git a/scripts/init_uapi_gpu.py b/scripts/init_uapi_gpu.py
new file mode 100644
index 0000000..b26a147
--- /dev/null
+++ b/scripts/init_uapi_gpu.py
@@ -0,0 +1,66 @@
+import asyncio, uuid
+from sqlor.dbpools import DBPools
+from appPublic.jsonConfig import getConfig
+
+async def main():
+    config = getConfig('.')
+    DBPools(config.databases)
+    db = DBPools()
+    async with db.sqlorContext('rag') as sor:
+
+        upapps = [
+            ('rag-vdb', 'VDB向量库', 'Milvus向量数据库', 'https://vectordb.opencomputing.net', ''),
+            ('rag-reranker', 'Reranker重排', 'BGE Reranker重排序服务', 'https://reranker.opencomputing.net', ''),
+            ('rag-face', '人脸服务', '人脸检测/识别/比对', 'https://face.opencomputing.net', ''),
+            ('rag-graph', '图数据库', 'Neo4j图数据库', 'https://graphdb.opencomputing.net', ''),
+            ('rag-ner', 'NER实体识别', '命名实体识别服务', 'https://entities.opencomputing.net', ''),
+            ('rag-embedding', 'CLIP向量化', 'CLIP模型向量化服务', 'https://embedding.opencomputing.net', ''),
+        ]
+        for uid, name, desc, baseurl, myappid in upapps:
+            await sor.sqlExe(
+                "INSERT IGNORE INTO upapp (id, name, description, baseurl, myappid) "
+                "VALUES (${id}$, ${name}$, ${desc}$, ${baseurl}$, ${myappid}$)",
+                {"id": uid, "name": name, "desc": desc, "baseurl": baseurl, "myappid": myappid})
+        print(f'upapp: {len(upapps)} inserted')
+
+        apis = [
+            # VDB
+            ('vdb-upsert', 'rag-vdb', 'upsert', '向量插入', 'POST', '/v1/upsert',
+             '{"collectionName": "{{collection}}", "data": {{json.dumps(data)}}}'),
+            ('vdb-search', 'rag-vdb', 'search', '向量检索', 'POST', '/v1/search',
+             '{"collectionName": "{{collection}}", "vector": {{json.dumps(vector)}}, "topK": {{top_k}}}'),
+            ('vdb-delete', 'rag-vdb', 'delete', '向量删除', 'POST', '/v1/delete',
+             '{"colname": "{{colname}}", "ids": {{json.dumps(ids)}}}'),
+            # Reranker
+            ('reranker-rerank', 'rag-reranker', 'rerank', '文本重排序', 'POST', '/api/rerank',
+             '{"query": "{{query}}", "documents": {{json.dumps(documents)}}}'),
+            # Face
+            ('face-detect', 'rag-face', 'detect', '人脸检测', 'POST', '/api/detect',
+             '{"image_url": "{{image_url}}"}'),
+            ('face-recognize', 'rag-face', 'recognize', '人脸识别', 'POST', '/api/recognize',
+             '{"image_url": "{{image_url}}", "face_id": "{{face_id}}"}'),
+            ('face-compare', 'rag-face', 'compare', '人脸比对', 'POST', '/api/compare',
+             '{"image_url1": "{{image_url1}}", "image_url2": "{{image_url2}}"}'),
+            # Graph
+            ('graph-save', 'rag-graph', 'save', '保存图', 'POST', '/api/graph/save',
+             '{"graph": "{{graph}}", "data": {{json.dumps(data)}}}'),
+            ('graph-query', 'rag-graph', 'query', '查询图', 'POST', '/api/graph/query',
+             '{"graph": "{{graph}}", "query": "{{query}}"}'),
+            ('graph-delete', 'rag-graph', 'delete', '删除图', 'POST', '/api/graph/delete',
+             '{"graph": "{{graph}}"}'),
+            # NER
+            ('ner-entities', 'rag-ner', 'entities', '实体识别', 'POST', '/api/entities',
+             '{"text": "{{text}}"}'),
+            # Embedding
+            ('emb-embed', 'rag-embedding', 'embed', '文本向量化', 'POST', '/api/embed',
+             '{"texts": {{json.dumps(texts)}}, "model": "{{model}}"}'),
+        ]
+        for aid, upappid, name, title, method, path, data in apis:
+            await sor.sqlExe(
+                "INSERT IGNORE INTO uapi (id, upappid, name, title, httpmethod, path, data) "
+                "VALUES (${id}$, ${upappid}$, ${name}$, ${title}$, ${method}$, ${path}$, ${data}$)",
+                {"id": aid, "upappid": upappid, "name": name, "title": title,
+                 "method": method, "path": path, "data": data})
+        print(f'uapi: {len(apis)} inserted')
+
+asyncio.run(main())