// TAG: PYTHON

Discover what Redis LangCache is, its benefits for AI applications, and how to set up your environment for semantic caching.

A step-by-step guide to installing and configuring Redis on your local machine, along with setting up Node.js and Python clients to interact with …

A practical guide to performing fundamental operations with Redis LangCache, including storing and searching for LLM responses using Node.js and …

Dive into the most fundamental data type in Redis: Strings. Learn how to store, retrieve, update, and delete string values, along with understanding …

Explore Hashes, a versatile data type for storing structured data like objects. This chapter explains how to manage fields and values within a hash.

A step-by-step project to build a simple AI chatbot that leverages Redis LangCache to significantly reduce LLM costs and improve response times for …

Understand Redis Lists, ordered collections of strings. Learn how to perform push, pop, and range operations, making them ideal for queues and recent …

Build a Retrieval-Augmented Generation (RAG) system and optimize its performance and cost by integrating Redis LangCache for caching retrieval results …

Delve into Sets for unique collections and Sorted Sets for unique collections with an associated score, perfect for leaderboards and priority queues.

Learn how to execute multiple Redis commands atomically using Transactions and improve performance by batching commands with Pipelining.

Discover the real-time messaging capabilities of Redis with Pub/Sub, enabling decoupled communication between application components.

Explore Redis Streams, a powerful data structure for managing high-velocity data streams, enabling event sourcing and consumer groups for robust …

A step-by-step project to create a dynamic, real-time leaderboard using Redis Sorted Sets, demonstrating practical application of core concepts.

Build a robust distributed caching system with rate limiting for API endpoints, showcasing Redis's role in scaling web applications.

A comprehensive guide to learning Redis LangCache, a powerful semantic caching service for AI applications. Reduce LLM costs and improve response …

A comprehensive guide to learning Redis, starting from its core concepts, diving into advanced data structures, and building real-world applications …

A comprehensive guide to Microsoft's Agentic Lightening framework, designed for absolute beginners and experienced developers to train and optimize AI …

A comprehensive, beginner-friendly guide to the Microsoft Agent Framework, covering core concepts, advanced topics, and practical projects for …

An in-depth exploration of advanced concepts, robust architectures, and real-world complex applications of agentic AI for experienced professionals, …

A comprehensive guide to advanced Python programming, covering clean code principles, performance optimization, concurrency with asyncio, and best …

A comprehensive guide to building intelligent AI agents using LangChain and LangGraph, covering foundational concepts, tool integration, memory …

A comprehensive, beginner-friendly guide to understanding, building, and applying agentic AI for UI and backend systems using popular libraries like …

A comprehensive guide to leveraging NumPy, Pandas, Matplotlib, and Seaborn for data science, from foundational concepts to advanced techniques, with a …

A comprehensive guide to Deep Learning with PyTorch, covering foundational tensor operations, neural network construction, custom training, and …

A comprehensive guide to traditional Machine Learning concepts and practical application with Scikit-learn, from basic regression and classification …

A comprehensive guide to Natural Language Processing fundamentals, including text preprocessing, word embeddings, and an in-depth exploration of …

Pandas, a cornerstone library in the Python data science ecosystem, is about to become your new best friend for handling tabular data with …