What is a Vector Database? A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time. Vector embeddings represent chunks of data, suc
In this simple vector database, the documents in the upper right are likely similar to each other. Resource Regain control with the Connectivity Cloud Learn more What is a vector? A vector is an array of numerical values that expresses the location of a floating point along several dimensions...
Vector databases like DataStax Astra DB(built on Apache Cassandra) are designed to provide optimized storage and data access capabilities specifically for embeddings. A vector database is a type of database that is specifically designed to store and query high-dimensional vectors. Vectors are mathema...
Vector database containing image embeddings A vector embedding is a sequence of numbers like [0.4, 0.8, -0.1, 0.6, 1.1, ...] that captures the original meaning of a data point (a sentence, an image, an audio signal, etc.) in relation to other points. Think of each number in the se...
A vector database is a data storage system that organises information in the form of vectors, which are mathematical representations. These databases are designed to store, index, and query vector embeddings or numerical representations of unstructured data, including text documents, multimedia content...
How does a vector database work? 我们或多或少知道传统数据库是如何工作的,它们在行和列中存储字符串、数字和其他类型的标量数据。另一方面,矢量数据库对矢量进行操作,所以它的优化和查询方式是完全不同的。 在传统数据库中,我们通常是查询数据库中的行,其中的值通常与我们的查询完全匹配。在矢量数据库中,我们...
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
1 What is a Vector Database? 2 What are Vector Embeddings? 3 What is RAG (Retrieval-Augmented Generation)? A Vector Database is a specialized database system designed for efficiently indexing, querying, and retrieving high-dimensional vector data. Those systems enable advanced data analysis ...
Vector Index vs. Vector Database Vector indexes and vector databases are both designed to efficiently store and retrieve vectors, 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 ...
Vector databases are optimized to enable users or applications to effectively find and retrieve relevant data throughvector searchtechniques that match data points based on their similarity or how closely they're plotted. As a result, the search function is also known asvector similarity search. ...