diff --git a/dsRagAnything/StartLightRAG.py b/dsRagAnything/StartLightRAG.py
new file mode 100644
index 00000000..5592e14e
--- /dev/null
+++ b/dsRagAnything/StartLightRAG.py
@@ -0,0 +1,88 @@
+import asyncio
+import json
+import logging
+
+import fastapi
+import uvicorn
+from fastapi import FastAPI
+from lightrag import LightRAG, QueryParam
+from lightrag.kg.shared_storage import initialize_pipeline_status
+from raganything import RAGAnything
+from sse_starlette import EventSourceResponse
+from starlette.staticfiles import StaticFiles
+
+from Config.Config import LLM_MODEL_NAME
+from Util.RagUtil import create_llm_model_func, create_vision_model_func, create_embedding_func
+
+# 在程序开始时添加以下配置
+logging.basicConfig(
+    level=logging.INFO,  # 设置日志级别为INFO
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+)
+
+# 或者如果你想更详细地控制日志输出
+logger = logging.getLogger('lightrag')
+logger.setLevel(logging.INFO)
+handler = logging.StreamHandler()
+handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
+logger.addHandler(handler)
+
+
+async def lifespan(app: FastAPI):
+    yield
+
+
+async def print_stream(stream):
+    async for chunk in stream:
+        if chunk:
+            print(chunk, end="", flush=True)
+
+
+app = FastAPI(lifespan=lifespan)
+
+# 挂载静态文件目录
+app.mount("/static", StaticFiles(directory="Static"), name="static")
+
+
+@app.post("/api/rag")
+async def rag(request: fastapi.Request):
+    data = await request.json()
+    topic = data.get("topic") # Chinese, Math
+    # 拼接路径
+    WORKING_PATH= "./Topic/" + topic
+    # 查询的问题
+    query = data.get("query")
+    # 关闭参考资料
+    user_prompt="\n 1、不要输出参考资料 或者 References ！"
+    user_prompt = user_prompt + "\n 2、如果问题与提供的知识库内容不符，则明确告诉未在知识库范围内提到！"
+
+    async def generate_response_stream(query: str):
+        try:
+            rag = LightRAG(
+                working_dir=WORKING_PATH,
+                llm_model_func=create_llm_model_func(),
+                embedding_func=create_embedding_func()
+            )
+
+            await rag.initialize_storages()
+            await initialize_pipeline_status()
+            resp = await rag.aquery(
+                query=query,
+                param=QueryParam(mode="hybrid", stream=True))
+
+            async for chunk in resp:
+                if not chunk:
+                    continue
+                yield f"data: {json.dumps({'reply': chunk})}\n\n"
+                print(chunk, end='', flush=True)
+        except Exception as e:
+            yield f"data: {json.dumps({'error': str(e)})}\n\n"
+        finally:
+            # 清理资源
+            await rag.finalize_storages()
+
+    return EventSourceResponse(generate_response_stream(query=query))
+
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)