vector-db-init
Dependencies
This skill requires Python 3.8+ and standard library only. No external packages needed.
To install this skill's dependencies:
pip-compile ./requirements.in
pip install -r ./requirements.txt
See ./requirements.txt for the dependency lockfile (currently empty — standard library only).
Vector DB Initialization
The vector-db-init skill is an automated setup routine that prepares the environment for the Vector DBMS.
Examples
Real-world examples of each config file are in references/examples/:
| File | Purpose |
|---|---|
vector_profiles.json |
Profile registry -- defines named vector collections and ChromaDB connection |
vector_knowledge_manifest.json |
Manifest -- what folders/globs to include/exclude in the vector index |
When to Use This
- When a user first installs the
vector-dbplugin. - If the user complains that
chromadbis not installed orModuleNotFoundErroris thrown. - If the Vector DB profile is missing from
.agent/learning/vector_profiles.json.
Instructions for Agent
-
Run the Initialization Script: You must execute the interactive initialization script located at
scripts/init.py.python3 .agents/skills/vector-db-init/scripts/init.py -
Wait for Completion: The script will automatically run
pip install, then prompt the user to select their deployment architecture (In-Process or Native Server). All settings are written to.agent/learning/vector_profiles.json. -
Verify: After the script completes successfully, inform the user that their environment is ready, and they can now run the
vector-db-launchskill to start the background server (if they chose Option 2).
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