Vector Databases Hit 83% Adoption for AI/ML Workloads as Embeddings Go Mainstream
Vector databases achieve 83% adoption for AI/ML workloads as embeddings-based search and recommendations replace keyword matching, with Pinecone, Weaviate, and Qdrant processing billions of vector similarity queries daily in 2026.
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