
# RedisVL

This is the Redis vector library (RedisVL).

RedisVL provides a powerful, dedicated Python client library for using Redis as a vector database. Leverage Redis's speed, reliability, and vector-based semantic search capabilities to supercharge your application.

## Overview

RedisVL (Redis Vector Library) is a Python client library specifically designed for building AI applications with Redis as a vector database. It provides high-level abstractions for vector search, semantic caching, and AI-powered applications while leveraging Redis's performance and reliability.

## Key Features

*   **Vector Search**: High-performance similarity search with multiple distance metrics
*   **Semantic Caching**: Intelligent caching for AI model responses and embeddings
*   **Schema Management**: Declarative schema definition for vector indexes
*   **Multiple Vectorizers**: Built-in support for OpenAI, Hugging Face, and custom embeddings
*   **Query Filtering**: Advanced filtering capabilities for precise search results
*   **Real-time Updates**: Live vector index updates and real-time search
*   **Python Integration**: Native Python API with pandas and NumPy compatibility
*   **Production Ready**: Enterprise-grade performance and reliability with Redis

## Getting Started

Refer to the complete [RedisVL documentation](../../develop/ai/redisvl/index.md) for installation, setup, and usage examples.

## On this page
