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
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
VIDEO: What Is a Vector Database? How Can It Help Meet Business Needs? 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...
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...
A vector database stores, manages and indexes high-dimensional vector data to be stored as arrays of numbers called “vectors,” clustered based on similarity.
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. ...
Discover how vector databases power AI, enhance search, and scale data processing. Learn their benefits and applications for your business with InterSystems.
Learn what a vector database is, how it works, and why MongoDB Atlas Vector Search plays a significant role in the generative AI discussion.
Discover how vector databases power AI, enhance search, and scale data processing. Learn their benefits and applications for your business with InterSystems.
A vector index is a data structure used in computer science and information retrieval to efficiently store and retrievehigh-dimensional vector data, enablingfast similarity searchesandnearest neighbor queries. The use of generative AI andlarge language models (LLMs)is rapidly growing. Generative AI mod...