多维检索方法(Multi-vector Retrieval)是一种用于信息检索的技术,它允许用户在多个维度上进行数据检索和分析。这种方法通常用于处理大规模数据集,以便用户可以根据不同的要求和条件来检索数据。 在多维检索方法中,数据通常被表示为多维空间中的向量,每个维度代表了数据的一个特征或属性。这样一来,用户可以通过指定不同维...
I'm really sorry, I really want to contribute my strength to langchain4j, but the project I'm currently responsible for is too heavy, so I don't have much personal free time. Currently, I understand that Milvus and Vearch support mixed retrieval in vector databases, and I think there ar...
Multi-vector retrieval models improve over single-vector dual encoders on many information retrieval tasks. In this paper, we cast the multi-vector retrieval problem as sparse alignment between query and document tokens. We propose AligneR, a novel multi-vector retrieval model that learns sparsified...
[CL] ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval O网页链接 介绍了ColBERT-XM,一种创新的多语言稠密检索模型,旨在解决现有多语言信息检索模型的局限性。这些模型依赖大量高质量的多语种数据,往往在预训练阶段无法有效地纳入新的语言。ColBERT-XM通过减少对...
However, the gap between the original embeddings and the quantized vectors may degenerate retrieval performance. Recently, improved dense retrieval models such as JPQ have been proposed to reduce storage space while maintaining ranking effectiveness by jointly training the encoder and PQ index. They ...
VectorSearch: A Comprehensive Solution to Document Retrieval Challenges with Hybrid Indexing, Multi-Vector Search, and Optimized Query Performance
which enables highly efficient retrieval of multi-modal data-sets. OneSparse introduces a novel multi-index query engine design of inter-index intersection push-down. It also optimizes the vector posting format to expedite multi-index queries. Our experiments show OneSparse achieves ...
DingoDB supports both traditional database index types and various vector index types, providing a seamless scalar and vector hybrid retrieval experience, reflecting industry-leading retrieval capabilities. In addition, it also supports fusion of scalars and vectors. Distributed transaction processing. 5....
An algorithm based on image multi-feature vector for content-based image retrieval; 一种基于综合特征向量的图像检索算法2. To cure this problem,the paper propose a new kind of image extract and measure method which is based on the multi-feature vector normalization and uses it as the standard...
data types such as dense vector, sparse vector, tensor, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many moreRAG(Retrieval-augmented Generation) ...