命令描述CREATE VECTOR INDEX [index_name] [IF NOT EXISTS] FOR (n:LabelName) ON (n.propertyName) OPTIONS "{" option: value[, ...] "}"在节点上创建矢量索引。选项映射是强制性的,因为在创建矢量索引时必须设置矢量维度和相似性函数CREATE VECTOR INDEX [index_name] [IF NOT EXISTS] FOR ()-”[...
elif query_engine_type == Neo4jQueryEngineType.RAW_VECTOR: # Raw vector index retrieval self.query_engine = vector_index.as_query_engine() elif query_engine_type == Neo4jQueryEngineType.RAW_VECTOR_KG_COMBO: from llama_index.query_engine import RetrieverQueryEngine # create neo4j custom retrieve...
这种集成有助于将数据有效地摄取到 Neo4j Vector Index 中,简化了 RAG 应用程序中的数据摄取和查询,并能够构建有效的 RAG 应用程序,通过利用结构化和非结构化数据提供实时、准确且与上下文相关的答案。它支持数据摄取和读取工作流程,对于使用 RAG 架构开发问答聊天机器人特别有用。 这篇文章将演示如何利用 LangChain ...
By default, Neo4j vector index implementation in LangChain represents the documents using the Chunk node label, where the text property stores the text of the document, and the embedding property holds the vector representation of the text. The implementation allows you to customize the node label,...
Neo4j vector index is wrapped as a LangChain vector store. Therefore, it follows the syntax used to interact with other vector databases. from langchain.vectorstores import Neo4jVector from langchain.embeddings.openai import OpenAIEmbeddings # Neo4j Aura credentials url="neo4j+s://.databases....
retriever=neo4j_graph_vector_index.as_retriever(), chain_type="stuff", ) qa_chain.combine_documents_chain.llm_chain.prompt = qa_prompt response = qa_chain.invoke(query) return response.get("result") 1. 2. 3. 4. 5. 6. 7. 8. ...
In addition to the label and property key (both given as `STRING`), a vector index needs to be configured with both the dimensionality of the vector (`INTEGER`), and the measure of similarity between two vectors (case-insensitive `STRING`). In addition to the label and property key (bot...
neo4j_vector = Neo4jVector.from_existing_graph( embedding=embeddings, index_name="keyelements", node_label="KeyElement", text_node_properties=["id"], embedding_node_property="embedding", retrieval_query="RETURN node.id AS text, score, {} AS metadata" ) def get_potential_nodes(question: str...
一个成员变量为Neo4j节点的属性,也可以指定名称,不指定默认 (3)@Index对应属性创建索引,需要在OGM的Session配置中开启自动索引功能;使用参数unique可以标识它是唯一索引 (4)@PropertiesMap<>属性,注意,OGM支持Vector,Set,List,Map等,但只有Map使用@Properties,其他均使用@Property;Map中的所有参数都会转换成节点的...