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How a vector index works and 5 critical best practices

A vector index is a data structure that optimizes the search for similar data points based on vector representations

Vector database AWS: 6 service options and how to get started

A vector database stores and retrieves high-dimensional data, represented as vectors.

Vector databases explained: Use cases, algorithms and key features

A vector database is used to store, index, and retrieve high-dimensional vector data. These vectors can encapsulate complex relationships and features of data

Apache Cassandra tutorial: Cheat sheet, basic setup and vector search

Apache Cassandra is a distributed NoSQL database for handling large amounts of data across commodity servers without a single point of failure

Vector databases and LLMs: Better together

A vector database handles high-dimensional vectors from machine learning models. LLMs are advanced models that understand and generate language.

Top 10 open source vector databases

A vector database manages, indexes, and queries high-dimensional vector data, often used in machine learning, data mining, and advanced analytical applications.

Vector databases in Azure: 6 service options and how to get started

A vector database is a type of database management system designed to handle and retrieve vector embeddings efficiently.

Vector Database: 13 Use Cases—from Traditional to Next-Gen

A vector database stores, indexes, and queries high-dimensional vectors, managing data as vectors to capture intricate relationships and patterns.

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