Bring Cassandra to the GenAI Crowd: Meet the Low-Friction CassIO Library
summary
CassIO is a Python library that uses Cassandra 5’s CEP-30 vector support to let GenAI code create and query production-ready vector tables with one-line vector store creation, automatic index/schema setup, prepared statements and TTL. Demo loads about 30 sample insects as embeddings, runs fast ANN searches with metadata filters, and performs RAG with an LLM; everything works in the notebook against Docker Cassandra 5 or DataStax Astra. Core design is composable table mixins and a config/IO layer; current integrations include LangChain and LlamaIndex. Documentation and source are at cassio.org.
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chapters (13)
- 0:00CassIO for GenAI accessibility
- 1:03Vector search backbone
- 2:50Cassandra adoption challenges
- 4:18CassIO’s GenAI mission
- 6:25Live demo: CassIO vector store
- 8:38Vector search with CassIO
- 9:40Building RAG with CassIO
- 12:09CassIO vs pure CQL
- 13:36CassIO architecture
- 15:01CassIO with LLM frameworks
- 17:33CassIO for general vector search
- 18:38CassIO future status
- 19:23Cloud support & closing
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