Guides

Welcome to the RedisVL guides! Whether you’re just getting started or building advanced AI applications, these guides will help you make the most of Redis as your vector database.

📦 Installation

Set up RedisVL. Install the library and configure your Redis instance for vector search.

pip install • Redis Cloud • Docker

🚀 Getting Started

New to RedisVL? Start here to learn the basics and build your first vector search application in minutes.

Schema → Index → Load → Query

🛠️ How-To Guides

Solve specific problems. Task-oriented recipes for LLM extensions, querying, embeddings, optimization, and storage.

LLM Caching • Filtering • MCP • Reranking

🧠 MCP Setup

Expose Redis through MCP. Run the RedisVL MCP server, configure one existing index, and use search or optional upsert tools.

stdio, HTTP, SSE • One index • Search and upsert

💻 CLI Reference

Command-line tools. Manage indices, inspect stats, and work with schemas using the rvl CLI.

rvl index • rvl stats • Schema YAML

💡 Use Cases

Apply RedisVL to real-world problems. See which guides map to your use case.

Agent Context • Agent Optimization • Search • RecSys

• Installation
  • Install RedisVL with Pip
  • Install RedisVL from Source
  • Development Installation
  • Installing Redis
• Getting Started
  • Prerequisites
  • What You’ll Learn
  • Define an IndexSchema
  • Sample Dataset Preparation
  • Create a SearchIndex
  • Inspect with the rvl CLI
  • Load Data to SearchIndex
  • Fetch and Manage Records
  • Creating VectorQuery Objects
  • Using an Asynchronous Redis Client
  • Updating a schema
  • Check Index Stats
  • Next Steps
  • Cleanup
• How-To Guides
  • Quick Reference
• CLI Reference
  • Commands
  • Index
  • Stats
  • Optional arguments
• Use Cases