小结 Spring AI提供了spring-ai-starter-vector-store-redis用于自动装配RedisVectorStore。可以使用redis/redis-stack:latest这个docker镜像来验证。 doc vectordbs/redis 原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。 如有侵权,请联系 cloudcommunity@
"Driver": "local", "Labels": { "com.docker.compose.project": "cache", "com.docker.compose.version": "2.29.7", "com.docker.compose.volume": "redis-data" },
RedisVectorStoreAutoConfiguration在spring.ai.vectorstore.type为redis时启用,它在RedisAutoConfiguration之后自动配置,它依赖EmbeddingModel及RedisVectorStoreProperties来创建RedisVectorStore RedisVectorStoreProperties org/springframework/ai/vectorstore/redis/autoconfigure/RedisVectorStoreProperties.java @ConfigurationProperties...
That's it! You have successfully added a new DB client to the vectordb_bench project.RulesInstallationThe system under test can be installed in any form to achieve optimal performance. This includes but is not limited to binary deployment, Docker, and cloud services....
将上面的配置文件保存为docker-compose.yml,然后执行命令docker-compose up -d,我们就能够通过访问 6379 端口和 Redis 服务进行数据交互了。 了解你的设备内存读写能力 我们可以写一段简单的程序,来模拟 Redis 工作时的场景,用 4KB 大小的数据模拟 Redis 写入,或读取累计 1GB 的数据量,通过执行时间来直观的了解设...
一些粉丝较少且不活跃的用户发表微博后,Vector 服务会首先查询 Vector Cache,如果 cache 中没有该用户的 Outbox 记录,则不写该用户的 cache 数据,直接更新 DB 后就返回,只有 cache 中存在才会通过 CAS 指令进行更新。 Write Behind Caching(异步缓存写入) 比如对一些计数业务,一条Feed 被点赞1万 次,如果更新 ...
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. - redis/redis
将上面的文件保存为docker-compose.yml。然后使用docker compose up启动服务,我们就能够分别使用下面的命令,来访问用来构建向量的容器embededing-server和redis-server啦。 # 使用命令行进入 Embededing Server 容器 dockerexec-it embededing-server bash # 使用命令行进入 Redis Server 容器 ...
Logs allows you tocollect data from your Redis databaseusing Vector within minutes and brings those metrics such as CPU usage and memory utilization to a central dashboard for useful insights. It also offers integrations into stacks like Kubernetes, Heroku, Logstash, Rails, Docker, AWS, and mor...
"" : " -- dataset changes rolled back"); } elapsed = mstime()-start_time; if (elapsed >= 500 && config.output == OUTPUT_STANDARD) { printf("(%.2fs)\n",(double)elapsed/1000); } } } // Free the argument vector sdsfreesplitres(argv,argc); } // linenoise() returns malloc-ed...