GitHub

Redis SQL Functions for IBM i

This project provides Redis utility functions for IBM i, enabling seamless interaction with a Redis server through SQL User-Defined Functions (UDFs). It includes the following functions: Built with a ...
IEEE

Federated Distributed Deep Reinforcement Learning for Recommendation-Enabled Edge Caching

Abstract: Recently, in response to the low efficiency and high transmission latency of traditional centralized content delivery networks, especially in congested scenarios, edge caching has emerged as ...
LinkedIn

Spring AI Recipe: Semantic Caching with Any Vector Store

Semantic caching can use any vector store. If you’re already using a vector store such as Qdrant, you can use it to speed up semantically similar requests and reduce token usage without adding another ...
IEEE

Mobility-Aware Cooperative Caching in IoVs Based on Secure Asynchronous Federated and Deep Reinforcement Learning

Abstract: Edge content caching of Internet of Vehicles (IoVs) is a key technology for alleviating backhaul strain and reducing access latency. To protect the privacy of vehicular users, Federated ...
LinkedIn

Spring AI Recipe: Semantic Caching

Although Valkey is compatible with Redis for many common use cases, Spring AI’s DefaultSemanticCache stores embeddings in Redis using vector indexes and similarity search operations provided by Redis ...
GitHub

Redis for VS Code

Redis for VS Code is the official Visual Studio Code extension that provides an intuitive and efficient GUI for Redis databases, developed by Redis. Universal Redis Support: Connect to any Redis ...