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
What is a vector database? A vector database is a collection of data stored as mathematical representations. Vector databases make it easier for machine learning models to remember previous inputs, allowing machine learning to be used to power search, recommendations, and text generation use-cases...
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...
In a vector database, the vectors are typically stored along with their associated metadata, such as labels, identifiers, or any other relevant information. The database is optimized for efficient storage, retrieval, and querying of vectors based on their similarity or distance to other vectors. ...
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...
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
A vector database is a type ofdatabasetechnology that's used to store, manage and searchvector embeddings, numerical representations of unstructured data that are also referred to simply asvectors. Long a niche technology, vector databases are now being used more widely to supportartificial intellige...
This article explores vector databases and embeddings, their use cases, and how they work. It also explains the key differences between vector and graph databases and offers a brief overview of popular solutions: Pinecone, Chroma, Milvus, Weaviate, and Qdrant. What is a vector database and vec...
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...
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 ...