Redis企業版助力銀行及金融機構構建高效能、穩定可靠的實時數據架構。憑藉記憶體級性能、多活架構、低延遲與高可用設計，解決高併發、災備切換、合規與風控挑戰。了解 Axis Bank、Cheq、Ekata 等真實金融科技案例，開啟數碼轉型新時代。
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Companies across industries are increasingly recognizing that making data-driven decisions is a necessity to compete now, in the next 5 years, in the next 20 years and beyond. With the explosion of big language modeling, vector databases have become a hot topic. With just a few lines of simple Python code, vector databases can act as inexpensive but efficient "external brains" for big language models.
LangChain founder Harrison Chase said, "We use Redis in OpenGPTs to store all of our long-term content, including vector storage for its use in retrieval and a database for storing message and agent configurations.The fact that Redis integrates all of this functionality into a single database is very appealing! Redis integrates all of these capabilities in one database, which is very attractive."
Redis has a great reputation and is widely recognized. Developers rely on Redis Enterprise to address key use cases across multiple industries, including gaming, retail, IoT, and travel application development.
