Source: ArangoDB Blog

ArangoDB Blog Vector Search in ArangoDB: Practical Insights and Hands-On Examples

Vector search is gaining traction as a go-to tool for handling large, unstructured datasets like text, images, and audio. It works by comparing vector embeddings, numerical representations generated by machine learning models, to find items with similar properties. With the integration of Facebook's FAISS library, ArangoDB brings scalable, high-performance vector search directly into its core,...The post Vector Search in ArangoDB: Practical Insights and Hands-On Examples appeared first on ArangoDB.

Read full article »
Est. Annual Revenue
$5.0-25M
Est. Employees
100-250
Shekhar Iyer's photo - CEO of ArangoDB

CEO

Shekhar Iyer

CEO Approval Rating

82/100

Read more