What is vector data? Vector data is a representation of the world using points, lines, and polygons. This data is created by digitizing the base data, and it stores information in x, y coordinates. Vector data is one of two primary types of spatial data in geographic information systems...
A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
This is where a vector database comes in handy: a dataset goes through the model only once (or periodically as it changes), and the model's embeddings of that data are stored in a vector database. This saves a tremendous amount of processing time. It makes building user-facing application...
Data ingestion and vectorization.The first step is to ingest the raw data and convert it into vector embeddings. The latter task is done byfeeding the data into an embedding model, a type ofneural networkthat uses machine learning and deep learning algorithms to generate the vector embeddings. ...
How do vector databases work? For generative AI to function, it needs a brain to efficiently access all the embeddings in real time. It uses this to formulate insights, perform complex data analysis, and make generative predictions of what is being asked. ...
In this blog, we provide a comprehensive understanding of vector databases, including what they are, how they work, types, use cases, examples, and more.
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...
Systems like Qdrant, exemplify scalability in vector databases. It leverages Rust's efficiency in memory management and performance, allowing handling of large-scale data with optimized resource usage. Efficient Query Processing The key to efficient query processing in these databases is linked to thei...
vector space. This numerical translation is known as a vector representation, which defines how objects are positioned and compared within the multidimensional vector space. This representation enables the precise calculation of similarities and differences between various data points, making it the ...
1 What is a Vector Database? 2 What are Vector Embeddings? 3 What is RAG (Retrieval-Augmented Generation)? Embeddings are numerical machine learning representations of the semantic of the input data. They capture the meaning of complex, high-dimensional data, like text, images, or audio,...