Redis

Redis is a real-time data platform that supports a variety of use cases for everyday applications as well as AI/ML workloads. Use Redis as a low-latency vector engine by creating a Redis database with the Redis Stack docker container. For a hosted/managed solution, try Redis Cloud. See more helpful examples of Redis as a vector database here.

The database needs the RediSearch module (>=v2.6) and RedisJSON, which are included in the self-hosted docker compose above.
Run the App with the Redis docker image: docker compose up -d in this dir.
The app automatically creates a Redis vector search index on the first run. Optionally, create a custom index with a specific name and set it as an environment variable (see below).
To enable more hybrid searching capabilities, adjust the document schema here.

Environment Variables:

Name	Required	Description	Default
`DATASTORE`	Yes	Datastore name, set to `redis`
`BEARER_TOKEN`	Yes	Secret token
`OPENAI_API_KEY`	Yes	OpenAI API key
`REDIS_HOST`	Optional	Redis host url	`localhost`
`REDIS_PORT`	Optional	Redis port	`6379`
`REDIS_PASSWORD`	Optional	Redis password	none
`REDIS_INDEX_NAME`	Optional	Redis vector index name	`index`
`REDIS_DOC_PREFIX`	Optional	Redis key prefix for the index	`doc`
`REDIS_DISTANCE_METRIC`	Optional	Vector similarity distance metric	`COSINE`
`REDIS_INDEX_TYPE`	Optional	Vector index algorithm type	`FLAT`

Redis Datastore development & testing

In order to test your changes to the Redis Datastore, you can run the following commands:

bash

# Run the Redis stack docker image
docker run -it --rm -p 6379:6379 redis/redis-stack-server:latest

bash

# Run the Redis datastore tests
poetry run pytest -s ./tests/datastore/providers/redis/test_redis_datastore.py