scylladb/vector-search-examples
Vector search examples with ScyllaDB
Demonstrates practical implementations of vector storage and similarity search in ScyllaDB across three reference architectures: a movie recommendation system, retrieval-augmented generation (RAG) chatbots, and semantic caching layers. Uses ScyllaDB's native vector capabilities integrated with LLM frameworks to handle embedding storage, ANN queries, and context retrieval for AI applications.
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4
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5
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
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0
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