Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Vector databases just became the infrastructure battleground. Here's how nine systems compare on cost, scale, and architecture.
Why it matters
Vector databases are now critical infrastructure for RAG and agentic AI deployments. Leaders need to understand pricing, scale limits, and architectural tradeoffs to make infrastructure decisions that won't break their AI stack.
The key facts
9 to knowNine leading vector database systems compared
Focus on architecture, pricing, and scale limits
Vector databases identified as core retrieval infrastructure for RAG
Agentic AI use cases driving adoption
Published May 2026 — forward-looking infrastructure assessment
Nine production vector database systems compared
Focus areas: architecture, pricing, scale limits
Vector databases positioned as core retrieval infrastructure for RAG and agentic AI
Published May 2026 (future-dated, but treating as current)
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Publisher excerpt: Vector databases are now core retrieval infrastructure for RAG and agentic AI. This guide compares nine production options on architecture, pricing, and scale.