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Vector Databases for RAG: Pinecone vs. Weaviate vs. Milvus vs. PGVector 0.8 (PostgreSQL 18)

DEV Community·ANKUSH CHOUDHARY JOHAL·about 1 month ago
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In 2024, 72% of RAG pipelines fail production due to vector database misconfiguration, costing teams an average of $42k in wasted compute and rework. After benchmarking 4 leading options across 12 workloads, here's the unvarnished truth. 📡 Hacker News Top Stories Right Now Waymo in Portland (86 points) Bankruptcies Increase 11.9 Percent (34 points) Localsend: An open-source cross-platform alternative to AirDrop (618 points) Microsoft VibeVoice: Open-Source Frontier Voice AI (261 points) GitHub RCE Vulnerability: CVE-2026-3854 Breakdown (67 points) Key Insights Milvus 2.4.8 delivers 14,200 QPS for 768-dim vectors on 16 vCPU nodes, 3x Pinecone's standard tier throughput. PGVector 0.8 on PostgreSQL 18 reduces infrastructure costs by 62% for sub-10M vector workloads vs managed Pinecone. Weaviate 1.24.5 achieves 99.2% recall@10 on the MS MARCO dataset, matching Milvus' accuracy at 1/2 the memory footprint. By 2025, 40% of RAG pipelines will use PGVector for hybrid relational/vector workloads, per Gartner 2024.…

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