我正在使用 Aws Bedrock + langchain +openSerach Vector 存储。当我向 RAG 基础聊天机器人询问问题时,它给我错误,例如“无法创建查询:字段‘vector_field’不是 knn_vector 类型。” 我们创建的索引是否有任何问题,或者我需要在 langchain 会话链中传递一些其他参数。 使用以下json { "sett
Lucene中的KnnVectorField是用于支持向量搜索的字段类型。它的原理是将文档内容表示为向量,并使用K近邻算法(KNN)来搜索相似的向量。 具体来说,KnnVectorField首先将文档内容转换为向量表示。这通常通过使用特征提取器(例如TF-IDF、Word2Vec等)来提取文档中的特征,并将这些特征作为向量的各个维度。每个维度对应于文档中...
Method for using the KNN vector query feature,Tablestore:This topic describes how to use the k-nearest neighbor (KNN) vector query feature to query data in the Tablestore console or by using Tablestore SDKs.
The name of the field that you want to match. To perform a KNN vector query, the type of the field must be Vector in the search index. float32QueryVector string Yes The vector for which you want to query the similarity. Important ...
What is the bug? The index builder has the dense_vector property (https://www.javadoc.io/doc/org.opensearch.client/opensearch-java/latest/org/opensearch/client/opensearch/_types/mapping/DenseVectorProperty.html), but dense_vector doesn't...
fix creation of index - uses OpenSearch knn_vector now instead of the not supported dense_vector fix search query structure fix handling of filters in query - now they are applied to the right fields fix bulk query actions in insert, upsert and delete method - with the previous used bulk ...
icp点云配准算法实现 python search_knn_vector_3d 目录 基本情况 摘要 介绍 本文的贡献 点云配准的挑战 A 同源点云配准 B 跨源点云配准 点云配准方法的分类 A 基于优化的配准方法 B 特征学习的配准方法 C 基于端到端学习的方法 D 跨源点云配准方法...
语义文本搜索变得更加强大,现已原生支持 match、knn 和 sparse_vector 查询。这让我们能够保留语义查询的简洁性,同时提供 Elasticsearch 查询 DSL 的灵活性。 Elasticsearch 的语义查询功能非常强大,允许用户对配置为semantic_text字段的数据执行语义搜索。这种强大的核心在于其简洁性:你只需设置一个带有推理端点的semantic...
String VectorK Nearest NeighborIn this research, we propose the string vector based KNN as the approach to the keyword extraction. The keyword extraction may be viewed as an instance of word classification, encoding words into numerical vectors may cause the main problems, such as the huge ...
RescoreKnnVectorQuery rewrites to KnnScoreDocQuery, which takes a sorted array of doc ids and corresponding array including scores fo such docs. A binary search is performed on top of the docs arra...