“Then we come to indexing, organizations must choose a database that offers efficient storage and quick retrieval of vector data, especially for uses such as image recognition applications where ...

A vector database is a specialized system designed to store and retrieve unstructured data—such as images, text, and audio—by converting it into mathematical representations known as vector ...

Text, images, and videos are all examples of unstructured ... learning program or LLM can then pull from. Without a vector database, which can efficiently catalog vast amounts of unstructured ...

“In robotics, I was using multi-modal search to search through a lot of our images ... database you already have in your tech stack. At some point, users will face limitations if vector search ...

For example, a vector database can find images similar to a given image, or text similar to a given text. With vectors, LLMs can process requests quickly delivering the performance needed to run ...

Conventional relational database systems ... In contrast, vector databases specialize in storing and retrieving unstructured data, such as images, audio, videos, and text, through high-dimensional ...

Qdrant, the company behind the eponymous open source vector database, has raised $28 million ... be drawn between unstructured data (e.g. text, images or audio that isn’t labelled or otherwise ...

images, or even sound. A vector database indexes and stores these embeddings in a multi-dimensional space that allows users or applications to retrieve these embeddings and others nearby that they ...

or an AI-generated representation of that image. Then, a vector search can be performed on a vector database that stores such information and return either the top search results of the match ...

Qdrant, the developer of a high-performance, open-source vector database, today announced it ... require complex unstructured data such as text, images, audio and video to power them in order ...