The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

ai-native embedding-vectors htap in-memory-column-storage ml-embeded multi-model mysql onnx-runtime open-source-mysql-heatwave rag vectorized-execution-engine
2 Open Issues Need Help Last updated: Sep 14, 2025

Open Issues Need Help

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help wanted

The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

C++
#ai-native#embedding-vectors#htap#in-memory-column-storage#ml-embeded#multi-model#mysql#onnx-runtime#open-source-mysql-heatwave#rag#vectorized-execution-engine

AI Summary: The task is to make several hardcoded parameters within the ShannonBase database's purge operation configurable, likely through session variables. This involves modifying the `purge.h` header file to replace the constant values (MAX_PURGER_TIMEOUT, PURGE_BATCH_SIZE, MIN_VERSIONS_FOR_PURGE, PURGE_EFFICIENCY_THRESHOLD) with mechanisms to retrieve values from session variables or a configuration file.

Complexity: 4/5
enhancement help wanted feature

The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

C++
#ai-native#embedding-vectors#htap#in-memory-column-storage#ml-embeded#multi-model#mysql#onnx-runtime#open-source-mysql-heatwave#rag#vectorized-execution-engine