2025-02-20 03:26:39 +08:00
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"""
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This module contains all graph-related routes for the LightRAG API.
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"""
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from typing import Optional
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from fastapi import APIRouter, Depends, Query
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2025-02-20 03:26:39 +08:00
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2025-03-24 05:23:40 +08:00
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from ..utils_api import get_combined_auth_dependency
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2025-03-24 05:23:40 +08:00
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router = APIRouter(tags=["graph"])
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2025-02-20 04:12:21 +08:00
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2025-02-20 03:26:39 +08:00
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def create_graph_routes(rag, api_key: Optional[str] = None):
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combined_auth = get_combined_auth_dependency(api_key)
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2025-04-02 18:32:03 +08:00
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@router.get("/graph/label/list", dependencies=[Depends(combined_auth)])
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async def get_graph_labels():
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2025-03-02 12:52:25 +08:00
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"""
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Get all graph labels
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Returns:
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List[str]: List of graph labels
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"""
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return await rag.get_graph_labels()
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2025-04-02 18:32:03 +08:00
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@router.get("/graphs", dependencies=[Depends(combined_auth)])
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2025-03-05 11:37:55 +08:00
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async def get_knowledge_graph(
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label: str = Query(..., description="Label to get knowledge graph for"),
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max_depth: int = Query(3, description="Maximum depth of graph", ge=1),
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max_nodes: int = Query(1000, description="Maximum nodes to return", ge=1),
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):
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"""
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2025-03-02 17:32:25 +08:00
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Retrieve a connected subgraph of nodes where the label includes the specified label.
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When reducing the number of nodes, the prioritization criteria are as follows:
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1. Hops(path) to the staring node take precedence
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2. Followed by the degree of the nodes
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Args:
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label (str): Label of the starting node
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max_depth (int, optional): Maximum depth of the subgraph,Defaults to 3
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max_nodes: Maxiumu nodes to return
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Returns:
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Dict[str, List[str]]: Knowledge graph for label
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"""
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return await rag.get_knowledge_graph(
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node_label=label,
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max_depth=max_depth,
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max_nodes=max_nodes,
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)
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return router
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