全局搜索通过_community_store#search_communities接口完成。本地搜索仍通过_keyword_extractor#extract与_gr...
GraphRAGExtractor：以分片得到的结果集合作为输入，使用 LLM 进行实体、关系和属性的提取，最终将提取结果...
and explore graph store keywords = await self._keyword_extractor.extract(text) subgraph = self._graph_store.explore(keywords, limit=topk) logger.info(f"Search subgraph from {len(keywords)} keywords") content = ("The following vertices and edges data after [Subgraph Data] ""are ...
class GraphExtractor: def __init__(self, graph_db) -> None: self.tuple_delimiter = "<|>" self.record_delimiter = "##" self.completion_delimiter = "" self.entity_types = ["organization", "person", "geo", "event"] self.graph_extraction_system = prompts.GRAPH_EXTRACTION_SYSTEM.format...
Messi-Q / SourceGraphExtractor Star 11 Code Issues Pull requests Extracting graph data from smart contract source code graph-data smart-contract Updated Feb 28, 2023 Python underlay / tasl Star 11 Code Issues Pull requests An algebraic data model for strongly typed semantic data data ...
另外使用专有的知识抽取大模型(如OneKE)可以取得更好的效果,这部分工作还在进行中,我们期望看到OnekeExtractor的社区贡献早日发布。 5.2 存储 索引存储的统一抽象是IndexStoreBase接口,目前提供了向量、图、全文三类索引实现。知识图谱接口KnowledgeGraphBase是Graph RAG的存储底座,目前DB-GPT内置的BuiltinKnowledgeGraph...
特征提取器(Feature Extractor) 合成节点生成(Synthetic Node Generation) 边生成器(Edge Generator) GNN分类器(GNN Classifier) GraphSMOTE 的示意图如下: 2.1 特征提取器(Feature Extractor) 这一步其实就是 Node Embedding 的过程。按照作者的观点,原始特征空间十分稀疏,直接在原始特征空间进行插值容易产生域外样本(噪...
The number of roles is automatically determined by a model selection procedure when n_roles=None is passed to the RoleExtractor class instance. Alternatively, n_roles can be set to a desired number of roles to be extracted. >>> role_extractor = RoleExtractor(n_roles=None) >>> role_...
代码层实现也比较简单,只需要在真正的文本块知识抽取动作前,从向量存储里召回的相似文本块作为提示词上下文,结束后保存当前文本块到向量存储即可。代码实现参考GraphExtractor#extract。 asyncdefextract(self, text:str, limit:Optional[int] =None) ->List:# load similar chunkschunks =awaitself._chunk_history.a...
向量索引走嵌入的方式,如Text2Vector、OpenAI Embedding等。图索引走Extractor,如三元组抽取、关键词抽取等。翻译可以作为通用能力单独对待,承载DSL的模型微调能力,如Text2SQL、Text2GQL、Text2Cypher等。索引加工的输入是Splliter切分好的文本块(未来也可以是多模态数据),输出是索引存储系统,是连接内容和存储的桥梁。