Microsoft.SemanticKernel.Connectors.Redis

This connector uses Redis to implement Semantic Memory. It requires the RediSearch module to be enabled on Redis to implement vector similarity search.

What is RediSearch?

RediSearch is a source-available Redis module that enables querying, secondary indexing, and full-text search for Redis. These features enable multi-field queries, aggregation, exact phrase matching, numeric filtering, geo filtering and vector similarity semantic search on top of text queries.

Ways to get RediSearch:

1. You can create an Azure Cache for Redis Enterpise instance and enable RediSearch module.

2. Set up the RediSearch on your self-managed Redis, please refer to its documentation.

3. Use the Redis Enterprise, see Azure Marketplace, AWS Marketplace, or Google Marketplace.

Quick start

1. Run with Docker:

docker run -d --name redis-stack-server -p 6379:6379 redis/redis-stack-server:latest

2. Create a Redis Vector Store using instructions on the Microsoft Learn site.

3. Use the getting started instructions on the Microsoft Leearn site to learn more about using the vector store.