As vector databases become essential infrastructure for AI applications like RAG pipelines and semantic search, choosing the right one is crucial for performance and cost. This 2026 guide reviews nine leading systems, detailing their architecture, pricing, and ideal use cases. Options range from fully managed, zero-ops solutions to those optimized for massive scale or specific ecosystems like PostgreSQL and MongoDB. AI
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IMPACT Provides operators with critical information for selecting vector databases, which are foundational for RAG and semantic search in AI applications.
RANK_REASON The article is a review and comparison of existing products, not a new release or significant industry event. [lever_c_demoted from research: ic=1 ai=1.0]