GraphRAG Studio — initial commit: multimodal RAG system with KG visualization

Full-stack application for document-to-knowledge-graph pipeline:
- Backend: FastAPI + LangGraph ReAct agent + DeepSeek + MinerU parsing
- Frontend: React 19 + Vite + D3.js + shadcn/ui
- Pipeline: MinerU parsing → LangExtract entity extraction → KG building

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

backend/routers/query.py

@@ -0,0 +1,66 @@
+"""D 组：QA 问答（4 个端点）"""
+import asyncio
+from functools import partial
+
+from fastapi import APIRouter
+from fastapi.responses import JSONResponse
+
+from models.schemas import APIResponse, BatchQueryRequest, QueryRequest
+from services import qa_service as svc
+
+router = APIRouter(prefix="/query", tags=["QA"])
+
+
+@router.post("")
+async def run_query(body: QueryRequest):
+    try:
+        loop = asyncio.get_event_loop()
+        result = await loop.run_in_executor(
+            None,
+            partial(svc.run_query, body.question, [m.model_dump() for m in body.history]),
+        )
+        return APIResponse.ok(result)
+    except ValueError as e:
+        if "KG_EMPTY" in str(e):
+            return JSONResponse(
+                status_code=400,
+                content=APIResponse.err(3002, "Knowledge graph is empty. Index documents first.").model_dump(),
+            )
+        return JSONResponse(
+            status_code=500,
+            content=APIResponse.err(4001, str(e)).model_dump(),
+        )
+    except Exception as e:
+        return JSONResponse(
+            status_code=500,
+            content=APIResponse.err(4001, f"QA service error: {e}").model_dump(),
+        )
+
+
+@router.post("/batch", status_code=202)
+async def start_batch(body: BatchQueryRequest):
+    if len(body.questions) > 20:
+        return JSONResponse(
+            status_code=400,
+            content=APIResponse.err(1001, "Maximum 20 questions per batch").model_dump(),
+        )
+    result = svc.start_batch(body.questions)
+    return APIResponse.ok(result)
+
+
+@router.get("/batch/{batch_id}")
+async def get_batch_result(batch_id: str):
+    result = svc.get_batch_result(batch_id)
+    if not result:
+        return JSONResponse(
+            status_code=404,
+            content=APIResponse.err(2002, f"Batch '{batch_id}' not found").model_dump(),
+        )
+    return APIResponse.ok(result)
+
+
+@router.get("/history")
+async def get_query_history(page: int = 1, page_size: int = 20):
+    page_size = min(page_size, 50)
+    result = svc.get_history(page, page_size)
+    return APIResponse.ok(result)