Vector database

How it is used

You index documents, upsert vectors and run similarity or nearest-neighbor searches. Some teams use a dedicated vector database; others add vector search to a database they already have. Also called a vector store.

Example sentences

1. All 200,000 help articles are chunked, embedded and stored in the vector database.

2. Do we really need a separate vector database, or can our existing database handle it?

Common collocations

• similarity search
• vector store
• nearest-neighbor search
• index documents

Related terms

• embeddingA list of numbers (a vector) that represents a word, sentence, image or other item in such a way that items with similar meanings end up close to each other.
• RAGShort for retrieval-augmented generation: a method in which a system first searches a document collection for relevant passages and then gives them to an LLM to write the answer.
• LLMShort for large language model: a very large neural network trained on huge amounts of text to predict the next token, which lets it answer questions, write, summarize and code.
• endpointA specific URL of an API that accepts requests for one kind of action, such as GET /users to list users or POST /orders to create an order.

This word in other fields

The same English word can have a different meaning in another field:

• vector database · Artificial Intelligence & Machine Learning

More terms: Machine Learning and Data Processing

• artificial intelligence
• machine learning
• model
• dataset
• training data
• label
• train
• supervised learning
• neural network
• deep learning
• loss function
• overfitting