You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
openai-cookbook/examples/vector_databases/cassandra_astradb/README.md

1.8 KiB

Cassandra / Astra DB

The example notebooks in this directory show how to use the Vector Search capabilities available today in DataStax Astra DB, a serverless Database-as-a-Service built on Apache Cassandra®.

Moreover, support for vector-oriented workloads is making its way to the next major release of Cassandra, so that the code examples in this folder are designed to work equally well on it as soon as the vector capabilities get released.

If you want to know more about Astra DB and its Vector Search capabilities, head over to astra.datastax.com or try out one of these hands-on notebooks straight away:

Example notebooks

The following examples show how easily OpenAI and DataStax Astra DB can work together to power vector-based AI applications. You can run them either with your local Jupyter engine or as Colab notebooks:

Use case Framework Notebook Google Colab
Search/generate quotes CassIO Notebook Colab
Search/generate quotes Plain Cassandra language Notebook Colab

Vector similarity, visual representation

3_vector_space