What is a vector embedding?

A dense numerical representation of an object (like a word, sentence, or image) in a multi-dimensional space. Embeddings capture the semantic meaning of the object, such that similar objects have vectors that are close to each other.

Who uses one?

AI engineers building RAG and semantic search at scale

What does it cost?

Pricing varies. The cheapest provider in our Top 11 starts around $99/mo. See the cheapest providers ranked.

How do I pick one?

Read the full methodology for our 9.4-point scoring framework, then look at the canonical The 11 Best Vector Databases (2026). If you want a slice of the ranking by price, fit, or compliance, jump to: cheapest · highest-rated · fastest onboarding.

Source: Top 11 The 11 Best Vector Databases (2026), verified May 31, 2026.