Open Issues Need Help
View All on GitHub feat(ml): to impl `ml_xxx` 3 days ago
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
feat(shannon): rapid status monitor 7 months ago
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
feat(rapid): make the params configurable 8 months ago
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