在杭州举办的第13届PostgreSQL中国技术大会上，质变科技AI数据云布道师陆元飞先生发表了主题演讲，揭示了云原生向量数据库Relyt-V的设计与创新。陆先生通过分析Relyt-V在两个典型客户实践中的应用，展示了向量数据库在AIGC和检索场景中的重要作用。
在AIGC场景中，客户利用Relyt-V处理了千亿级别的数据，每日查询量高达百万次。通过将文档切片成块并转换为向量，Relyt-V能够实现大规模下的低成本存储和检索。此外，Relyt-V还支持多路召回，通过大语言模型的向量和关键词同时对向量数据库进行查询，为客户提供了高效的数据管理能力。
在检索场景中，Relyt-V在高召回率和高并发要求下，展现了卓越的性能。客户通过Relyt-V稳定支撑每日2亿次查询和3000万写入，平均6000QPS，2000峰值TPS，平均延迟仅10ms。Relyt-V的TTL数据管理能力确保了自动化的数据淘汰，满足了客户按天存储、保存7天数据的需求。
陆先生还介绍了Relyt-V的内核设计，以及其在PostgreSQL架构上的实现升级。Relyt-V的推出，满足了客户对向量数据库在不同发展阶段的需求，从最初的简单向量检索到现在的规模化和高性价比要求。
此次演讲不仅展示了Relyt-V在云原生向量数据库领域的创新，也为数据库领域的技术风向标提供了新的方向。随着人工智能和大数据技术的发展，向量数据库将在未来的技术应用中扮演越来越重要的角色。
英语如下：
News Title: “Unveiling the Core Design of Cloud-Native Vector Databases: The AI Innovation Behind Relyt-V”
Keywords: Cloud Native, Vector Database, AI Innovation
News Content: At the 13th PostgreSQL China Technical Conference held in Hangzhou, Mr. Lu Yuanfei, a Data Cloud Evangelist at Transformative Technology, delivered a keynote speech that unveiled the design and innovation behind the cloud-native vector database Relyt-V. Through an analysis of the application of Relyt-V in two typical client practices, Mr. Lu demonstrated the significant role of vector databases in AI Generated Content (AIGC) and retrieval scenarios.
In the AIGC scenario, clients processed a data volume of billions of records using Relyt-V, with daily query volumes reaching millions. By slicing documents into blocks and converting them into vectors, Relyt-V was able to achieve low-cost storage and retrieval at scale. Additionally, Relyt-V supports multi-path recall, allowing for queries against the vector database using both the vectors of large language models and keywords, providing clients with efficient data management capabilities.
In the retrieval scenario, Relyt-V demonstrated outstanding performance under high recall rates and high concurrency requirements. Clients rely on Relyt-V to stably support 200 million queries and 30 million writes per day, averaging 6,000 QPS (Queries Per Second) and 2,000 peak TPS (Transactions Per Second), with an average latency of only 10 milliseconds. Relyt-V’s TTL (Time-To-Live) data management capabilities ensure automated data purging, meeting clients’ needs for daily storage and retaining data for 7 days.
Mr. Lu also introduced the core design of Relyt-V and its implementation upgrade on the PostgreSQL architecture. The launch of Relyt-V meets the evolving needs of clients for vector databases, from initial simple vector retrieval to current demands for scale and high性价比 (cost-effectiveness).
This speech not only showcased the innovation of Relyt-V in the field of cloud-native vector databases but also provided a new direction for the technical trend in the database industry. As artificial intelligence and big data technologies continue to develop, vector databases will play an increasingly important role in future technological applications.
【来源】https://mp.weixin.qq.com/s/-gesJoA9yKYzogwk1qHcpg
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