Milvus 2.6 Ships With 3–4x Throughput Over Elasticsearch and Integrated Embedding Support — Vector Search Gets Cheaper at Billion Scale

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Milvus 2.6 delivers breakthrough cost reduction and search performance at billion-scale vector workloads, benchmarking 3–4x higher throughput than Elasticsearch with equivalent recall. The release adds a new Function interface that integrates third-party embedding providers (OpenAI, AWS Bedrock, Google Vertex AI, HuggingFace) directly into the search pipeline, letting users insert raw data and query with natural language without a separate embedding step. At 44,195 stars, Milvus is staking its claim as the performance leader in the vector database space.