Vector databases are on the rise and their applications are everywhere. They are super fast (imagine searching through billions of entries in a fraction of a second), and require much fewer resources ...

Vector databases and vector searches are rapidly gaining popularity due to ...

Vector databases and vector searches are rapidly gaining popularity due to their speed and scalability. Unlike traditional machine learning models that require extensive training, vector searches can ...

Whenever the word database is mentioned, relational databases have long been the default choice for data storage due to their sim ...

Vector databases are explicitly designed to store and manage vector data, playing a crucial role in many AI applications, such as semantic text search and image search. While traditional term matching ...

In this post, we compare MyScale, an integrated vector database that offers full SQL support, with two traditional databases: PostgreSQL and OpenSearch. Both databases have recently added vector simil ...

Update (2023-10-17): Check out our new blog post [Comparing MyScale with Postgres and OpenSearch: An Exploration into Integrated Vector Databases](https://myscale.com/blog/myscale-vs-postgres-op ...

Large Language Model (LLM) has brought so many amazing ideas into reality, like bots on anything, knowledge experts, research assistant and many others. Most of those great apps combine LLM with a spe ...

::: note Note: We continuously update the benchmark results for MyScale and other vector database products in our open-source project, vector-db-benchmark. ::: ...