memesis reindex --vec
CommunityRe-embed memories efficiently after embedding model changes.
Authoremmahyde
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It enables updating all stored memory embeddings to match a new or changed embedding model, ensuring retrieval accuracy and consistency.
Core Features & Use Cases
- Memory Re-embedding: Reads all existing memories and recalculates their embeddings using the current embedding model.
- Atomic Table Swap: Performs an in-place update of the vector memories table to maintain database integrity.
- Use Case: After switching to a different embedding model version, run this Skill to regenerate memory embeddings and keep retrieval relevant and precise.
Quick Start
Use the reindex --vec skill to refresh memory embeddings after changing your embedding configuration.
Dependency Matrix
Required Modules
core.embeddingscore.veccore.databasecore.models
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: memesis reindex --vec Download link: https://github.com/emmahyde/memesis/archive/main.zip#memesis-reindex-vec Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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