如前所述,典型的 RAG 应用都假设有一个底层的 VectorDB,并存储了所有嵌入的知识库。然而,当涉及到 GraphRAG 时,这种方法稍有不同。 事实上,GraphRAG 在“检索”阶段发挥作用,利用图结构的灵活性来存储知识库,目标是检索到更相关的文档片段,然后将其增强为上下文(你可以在这里阅读微软关于GraphRAG的第一个实验(micros
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向量存储记忆: VectorStoreRetrieverMemory 利用向量数据库进行大规模信息存储和检索。 键值记忆: ConversationKVMemory 用于快速访问特定信息。 组合记忆: CombinedMemory 允许同时使用多种记忆类型。 只读记忆: ReadOnlySharedMemory 提供只读的共享信息访问。 自定义记忆: LangChain 支持创建自定义记忆模块以满足特定需求。
Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers 15 min read Cypher & GQL Developer Text2Cypher: The Impact of Difficult Example Selection 6 min read Cypher & GQL Developer The Impact of Schema Representation in the Text2Cypher Task ...
以及Graph RAG 与 Vector RAG 的结果对比,相比单独的向量搜索,有了知识图谱的 RAG 会更加精准。 向量检索 vs 关键词检索 vs 混合检索怎么选? 基于Wey 在 Llama Index 以及 LangChain 的 Graph + RAG 贡献,海外工程师 Wenqi Glantz 对所有 Graph + LLM、RAG 方法进行了全面的实验、评估、综述、总结和分析。《...
张ShaderGraph必须有的节点。PBRMasterPBR(physically based rendering)主节点,该节点是基于物理渲染的节点。可以用于金属或高光材质。Normal节点的输入应该是切线空间。可以使用Transform节点转换到切线空间。 连接点 名称 类型 特殊说明描述AlbedoVector 3 无材质的albedo值,范围是0-1NormalVector ...
defretriever(question:str):print(f"Search query: {question}") structured_data = structured_retriever(question) unstructured_data =[el.page_content for el in vector_index.similarity_search(question)] final_data =f"""Structured data:{structured_data}Unstructured data:{"#Document ". join(...
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher. - kuzudb/kuzu
Try Azure Cosmos DB free Choose an API Distributed NoSQL Distributed relational Integrated vector databases What is a vector database Vector database in Azure Cosmos DB for NoSQL Full text search in Azure Cosmos DB for NoSQL Hybrid search in Azure Cosmos DB for NoSQL ...
Neo4j Vector Index and GraphCypherQAChain for optimizing the synthesis of information for informed response generation with Mistral-7b Information retrieval and knowledge extraction is a growing field, which has witnessed a notable shift with the advent of Large Language Models (LLMs) and knowledge ...