Weaviate 1.38 Release

Weaviate v1.38 introduces several new features and updates, including the general availability of the HFresh disk-based vector index and the built-in Model Context Protocol (MCP) server. The HFresh index, inspired by the SPFresh algorithm, efficiently manages memory and latency for streaming workloads by storing vectors on disk and maintaining a small in-memory index. The MCP server enables seamless integration with LLMs and AI agents for hybrid searches and object management. The latest version also includes a re-architected async replication process for improved consistency across clusters, running from a single scheduler and shared worker pool by default. Additionally, two preview features have been introduced: the Boost API for query-time rescoring and Nested Object Filtering, which allows filtering on nested object properties. The release also boasts multiple performance improvements and community contributions, making it a significant update for users of the platform.