向量数据库 (Vector Database) 是一种专门用于存储和处理向量数据的数据库。向量是一种由数字组成的数组,通常用于表示文本、图像、音频等数据的特征。向量数据库可以快速地搜索和分析向量数据,从而实现相似性搜索、聚类、分类等任务。 向量数据库通常使用基于向量相似性搜索的算法,如 K-近邻搜索、欧几里得距离等。这些...
一是采用 Fine-tuning 的方式迭代演进,让大模型学到更多的知识; Vector Database + Vector search 二是通过 Vector search 的方法,把最新的私域知识存在向量数据库中,需要时在向量数据库中做基于语义的向量检索,这两种方法都可以为大模型提供更加精准的答案。 但是从成本方面来看,行业人士指出,向量数据库的成本仅为...
聊聊对于向量数据库(Vector Database)的常见误解 我自己的原文Vector Databases: A Traditional Database Developer's Perspective 作为一名具有机器学习平台经验的传统数据库开发者(源自我在 Shopee 的工作经历),我最近一直在探索向量数据库,特别是Pinecone。在本文中,我不会提供全面的技术评估,而是想分享我对向量数据库...
Vector Database FAQs A lesser-known data type, vectors, has seized the spotlight recently as an enabler of generative AI. But vectors—and databases capable of storing and analyzing them—have been toiling backstage for many years. They’re used in geospatial mapping and analysis for city planni...
What Is a Vector Database? A vector database is any database that can natively store and manage vector embeddings and handle the unstructured data they describe, such as documents, images, video, or audio. With the importance of vector search for generative AI, the tech industry has spawned...
CTO Cloud, DataStax What is a Vector Database? A vector database is a specialized storage system designed to efficiently handle and query high-dimensional vector data, commonly used in AI and machine learning applications for fast and accurate data retrieval. ...
Data consistency, scalability, and performance are critical for data-intensive applications, which is why OpenAI chose to build the ChatGPT service on top of Azure Cosmos DB. You, too, can take advantage of its integrated vector database, as well as its single-digit millisecond response times,...
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloudhttps://cloud.qdrant.io/ searchsearch-enginemachine-learningneural-networkmatchingnearest-neighbor-searchimage-searchrecommender-systemapproximate-nearest-neighbor-sear...
Vector Index vs. Vector Database Vector indexes and vector databases are both designed to efficiently store and retrievevectors, that is, sets of numbers that represent the features of an object, like a document, image, or video or audio file. However, they have different characteristics and us...
向量数据库是一种以数学向量形式存储数据集合的数据库。向量由一组有序数值组成，表示在多维空间中的位置或方向，可以用于表示复杂对象如单词、图像、视频和音频。在机器学习中，向量用于生成高维度数据，对提升任务如搜索、推荐和内容生成至关重要。向量数据库的兴起主要由大模型 embedding 的应用驱动。