There's clearly a broad sense -- among database vendors and customers alike -- that vector search capabilities should be a feature within the databases that customers are already using to manage their data. This feature will give Neo4j customers an opportunity to inform and improv...
I’ve also incorporated a query rewriting feature, enabling the RAG chain to adapt to conversational settings that allow follow-up questions. Given that we use vector and keyword search methods, we must rewrite follow-up questions to optimize our search process. ...
CREATE VECTOR INDEX entity_index IF NOT EXISTS FOR (e:__Entity__) ON e.description_embedding ...
Expand the allowed index settings forvector-2.0vector index provider. Newly created vector indexes can explicitly enable or disable quantization of the vectors within the index usingvector.quantization.enable, new indexes will have quantization enabled by default. Previously created vector indexes will con...
通过以上代码创建了一个索引(index)名为company,类型名(type)为employee,包括id,…about等一组属性映射。 那映射是什么呢?映射,就像是数据库中的schema ,描述了文档可能具有的字段或属性,每个字段的数据类型以及Lucene是如何索引和存储这些字段的。 每一个属性的值存入数据库之后,都会根据每个属性的设置对该数据就行...
这个Neo4j的Cypher查询用于创建一个名为entity_index的向量索引,如果该索引已经存在,则不再创建。它是在节点标签为Entity的节点上,特别是在description_embedding属性上创建的。 选项中的indexConfig设置了一些有关此索引的配置信息: vector.dimensions: 定义了向量的维度,即每个向量包含的元素数量。在这个例子中,每个descr...
# index_name=index_name, # retrieval_query=retrieval_query, # graph=graph, # search_type="hybrid", # keyword_index_name=keyword_index # ) logging.info(f"Successfully retrieved Neo4jVector index '{index_name}' and keyword index '{keyword_index}'") else: neo_db = Neo4jVector.from_exi...
neo4j_vector_hybrid = Neo4jVectorStore( username, password, url, embed_dim, hybrid_search=True) storage_context = StorageContext.from_defaults( vector_store=neo4j_vector_hybrid ) index = VectorStoreIndex.from_documents( documents, storage_context=storage_context ...
keyword:精确值。合适分组排序。不进行分词,只能通过精确值搜索到,支持模糊、精确查询,支持聚合等。 Elasticsearch 1.x 和 2.x 中是 string 类型,5.x 之后,分解为 text 和 keyword。 数字类型 Numeric datatypes long, integer, short, byte, double, float, half_float, scaled_float ...
Surface for Developers and Data Scientists This release includes updates to vector index settings an... Read full notes → Bloom 2.14.0 1 August 2024 This is a new minor release of Neo4j Bloom with the following updates: Numerous bug fixes and performance enhancements, including: ...