Weaviate 发新版本啦，HFresh 索引和大模型连接插件 MCP Server 都转正了，十亿级数据不用重建，还能运行时开关 MCP 写入，运维省心很多。
Weaviate 1.38 正式发布，带来 HFresh（GA）磁盘向量索引，支持十亿级动态数据、低内存与可预测延迟，无需定期重建。MCP Server（GA）可让 LLM、IDE 和 AI 代理直接连接 Weaviate，并支持运行时开关写入权限。异步复制重构为单调度器集群执行，默认开启。Boost API（预览）允许查询时轻量调整结果排序，嵌套对象过滤（预览）支持 "cars.make" 路径过滤。此外新增 replica 迁移、服务端用量护栏、text2vec-digitalocean 模块等功能。
🚀 Weaviate 1.38 is here! Two big capabilities reach general availability in this release — plus a ...
🚀 Weaviate 1.38 is here! Two big capabilities reach general availability in this release — plus a faster, simpler path to running replicated clusters at scale. 🧠 HFresh (GA) — our disk-based vector index for billion-scale, constantly-changing data. Low memory, predictable latency, and no periodic full rebuilds. 🤖 MCP Server (GA) — connect LLMs, IDEs, and AI agents directly to Weaviate. In 1.38 you can flip the server (and write access) on or off at runtime — no restart. 🔁 Async replication, everywhere — re-architected to run cluster-wide from a single scheduler, and now on by default for every replicated collection. ⚡ Boost API (preview) — gently promote or demote results at query time, without filtering anything out. 🔎 Nested Object Filtering (preview) — filter on nested object fields with a simple dotted path like cars.make. …and more: production-ready replica movement, server-side usage guardrails, a new text2vec-digitalocean module, fractional BM25 boosts, and faster startup. 🛠️ 👉 Read the full re weaviate.io/blog/weaviate-… vi #Weaviate e #VectorDatabase a #AI a #AIAgents I #RAG t #MCP A #OpenSource n #MachineLearning earning 💬 0 🔄 4 ❤️ 11 👀 815 📊 3 ⚡