hlzd-knowledge-graph

name	hlzd-knowledge-graph
description	B2B 实体图谱 —— 从 inquiry / buyer-finder / quotation 输出抽实体 (customer / product / country / cert)，构建内存图，支持 BFS 关系查询 + DOT 导出。Use when 用户说'知识图谱'、'客户关系'、'实体抽取'、'customer graph'、'关联查询'、'knowledge graph'、'B2B graph'、'关联买家'。
license	MIT
metadata	{"author":"HLZD (海联智达 / 海良数科)","version":"0.1.0","industry":"cross-border-b2b","category":"knowledge-graph","triggered_by":["知识图谱","客户关系","实体抽取","customer graph","关联查询","knowledge graph","B2B graph","关联买家"]}

HLZD Knowledge Graph

B2B 实体抽取 + 轻量内存图 + BFS 查询 + DOT 导出。

节点类型

customer / product / country / certification / hs_code / supplier

边类型

边	含义
interested_in	customer → product
sourced_from / hosted_in	customer → country
certified_by	product → certification
classified_under	product → hs_code
ordered_from	customer → supplier
complies_with	product/customer → standard

用法

from scripts import lib

text = "We need OCTG from Saudi Arabia with API 5CT and ISO 9001."
result = lib.run_pipeline(text, customer_name="Aramco",
                           query_product="OCTG",
                           query_country="Saudi Arabia")
# result["extracted_entities"] + result["graph"] + result["queries"]

Output schema

{
  "$schema": "hlzd-knowledge-graph/v1",
  "extracted_entities": {
    "products": ["OCTG", "Steel Pipe"],
    "countries": ["Saudi Arabia"],
    "certifications": ["API 5CT", "ISO 9001"]
  },
  "graph": {
    "nodes": [...],
    "edges": [...],
    "stats": {"node_count": 5, "edge_count": 6, "by_type": {...}
  
   
     ...
     ...
  

DOT 导出

import lib
g = lib.build_graph_from_entities(entities)
dot_str = lib.export_dot(g)
# `dot -Tpng > out.png`

Related Skills

• hlzd-inquiry-qualify (上游) — inquiry JSON 输入
• hlzd-buyer-finder (上游) — buyer JSON 输入
• hlzd-quotation-gen (上游) — quote JSON 输入
• hlzd-pipeline-viz (下游) — 消费 graph 实体数

Versioning

版本	说明
0.1.0	首版：实体抽取 + 内存图 + BFS + DOT