60 AI tools for Redis
Expert agent for creating Drone CI/CD pipelines with Docker integration, secrets management, matrix builds, and multi-architecture support using YAML
Configure and optimize feature stores for ML platforms like Feast, Tecton, SageMaker, and Databricks. Design feature definitions, data sources, and streaming
A reusable skill template for the VibeBaza library that can be customized to guide Claude in generating code following specific framework patterns and best
Implement OAuth2 with expert guidance on grant types, token security, and PKCE for secure API authentication.
Expert skill for designing and implementing pub/sub subscribers across Google Cloud Pub/Sub, Kafka, RabbitMQ, Redis, AWS SNS/SQS, and Azure Service Bus with
Design and implement low-latency data pipelines for real-time dashboards and monitoring systems.
Configuration guidance for Redis Cluster setup with sharding, master-replica topology, and cluster management commands.
Expert in designing and implementing streaming ML pipelines that process real-time data at scale, with knowledge of Kafka, Spark, and Flink.
A reusable Claude skill that provides expert guidance on building, configuring, and deploying Apache Superset dashboards for data visualization and business
Redis MCP Server for LLMs to interact with Redis key-value stores using standardized tools.
Run your own MCP server on Azure Functions to connect AI agents to real-world APIs. Supports C#, Python, and TypeScript.
Extended Memory MCP is a Model Context Protocol tool that provides cross-session memory storage for Claude Desktop, preserving project context, decisions, and
Index and search embeddings using Redis and the RediSearch module.
Jupyter notebook demonstrating hybrid vector similarity search with Redis and OpenAI embeddings, combining VSS with lexical filtering on GEO, NUMERIC, TAG, and
A Jupyter notebook workflow demonstrating how to use Redis with the RediSearch module as a vector database for indexing and searching OpenAI embeddings.
A Jupyter notebook demonstrating how to store OpenAI text embeddings as vectors inside Redis JSON documents and perform semantic and hybrid search using Redis
Jupyter notebook demonstrating Redis as high-speed context memory for ChatGPT, using vector similarity search to inject relevant documents beyond the model's
