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RU402 RedisVL (Python) Example

The following example demonstrates the execution of a simple example to model sentences as vector embeddings using the RedisVL client for the Python programming language. Along the course we have used the well-known redis-py. RedisVL is built on top of redis-py and abstracts several operations, such as index management, creation of vector embeddings and vector search, and semantic caching. Refer to the repository to learn more.

Prerequisites

  • You'll need RedisVL installed. You can install it on your machine with pip install redisvl
  • You will need an instance of Redis Stack. See the setup instructions in the README at the root of this repo.
  • If you are running your Redis Stack instance in the cloud or somewhere that isn't localhost:6379, you'll need to set the REDIS_URL environment variable to point at your instance before running the code. If you need help with the format for this, check out the Redis URI scheme specification.

Run the Code

Ensure that your Redis Stack instance is running, and that you have set the REDIS_URL environment variable if necessary. Example:

export REDIS_URL=redis://user:password@host:port

By default, the connection is attemped to a localhost Redis Stack instance on port 6379

You can now install the libraries required to run the example. You can create a Python virtual environment as usual.

python3 -m venv vssvenv
source vssvenv/bin/activate

pip install redisvl
pip install sentence_transformers

Now you can run the example with:

The example will store three sentences and test one sentence for similarity. The result is:

[{'id': 'doc:e993b504b5254f31b809f3ba8c65e31d', 'vector_distance': '0.114169858396', 'content': 'That is a very happy person'}, {'id': 'doc:2f6714bf5f3643b6b73b0c7f8f146b48', 'vector_distance': '0.610845565796', 'content': 'That is a happy dog'}, {'id': 'doc:c993c84f60c04c6d91908c09dfc3036d', 'vector_distance': '1.48624742031', 'content': 'Today is a sunny day'}]

View the Code

The code is contained in the file App.py.

References