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The upcoming Cassandra 5 release will be packed with new features. Some of these, most notably – but not only – the support for Vector operations (CEP-30), make Cassandra a top-class storage backend for GenAI/ML workloads. AI practitioners, however, may find it inconvenient to learn the ways of CQL, indexes, data-modeling principles and so on. To lower this barrier, the CassIO Python open-source library was developed (cassio.org), a sophisticated layer between CQL and the developer, optimized for ML- and GenAI-oriented usage. The library cleverly employs the latest additions to Cassandra and presents a minimal-friction set of interfaces enabling usage of Cassandra right away.
In this talk we demonstrate the usage of the library, outlining the core tenets of its architecture and its ease of use; moreover, we show how CassIO powers the current Cassandra integrations in popular Large Language Model (LLM) frameworks such as LangChain and LlamaIndex. The audience will gain knowledge of a new, more accessible way to employ Cassandra in their AI-oriented applications, enabling use cases such as vector-based Retrieval-Augmented Generation (RAG), chat conversation memory and so forth.
I'm Stefano Lottini, developer advocate at DataStax with a strong interest in Apache Cassandra™ and distributed data systems in general. My past work experiences include teaching at all levels (where I could hone my communication skills), research in theoretical/computational physics... Read More →