OpenSearch has released versions 3.5 and 3.6, enhancing its capabilities for semantic retrieval and agent memory management, making it a strong candidate for an AI data layer. These updates include advanced vector search features like Better Binary Quantization (BBQ) and sparse vector support, along with improvements in agent memory handling and observability tools, positioning OpenSearch as a comprehensive platform for building AI applications.
Read the full article at The New Stack
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