refresh-index

Rebuild the FAISS vector index for updated semantic search accuracy.

103|31|Updated Nov 2, 2025

Search Tags:#search #knowledge base #update #index #faiss

Ready to run

npx skills add https://github.com/Abilityai/cornelius --skill refresh-index

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: refresh-index
Source: https://github.com/Abilityai/cornelius/tree/main/.claude/skills/refresh-index
Command: npx skills add https://github.com/Abilityai/cornelius --skill refresh-index

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Ensures that your semantic search results accurately reflect the latest changes in your knowledge base by rebuilding the FAISS index.

Core Features & Use Cases

Index Maintenance: Periodically rebuilds the FAISS vector index.
Accuracy Assurance: Guarantees that semantic search queries return up-to-date information.
Use Case: After adding new notes or modifying existing ones in your Obsidian vault, run this Skill to update the search index so that new insights are discoverable.

Quick Start

Run the refresh index skill to rebuild the FAISS index.

Frequently Asked Questions about refresh-index

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I update the FAISS index after adding new notes to my knowledge base?▼

You can rebuild the FAISS vector index to update semantic search accuracy for your knowledge base. This process re-indexes your local brain notes so that recent modifications and additions are discoverable through search queries.

Why does semantic search return outdated results from my local notes?▼

Semantic search returns outdated results because the FAISS vector index has not been rebuilt to include recent content changes. You must rebuild the index to synchronize the search database with your latest brain notes.

When should I rebuild the FAISS vector index for my knowledge base?▼

You should rebuild the FAISS vector index whenever your knowledge base content is frequently updated. Running the rebuild process after adding or modifying notes ensures that semantic retrieval remains accurate and current.

Do I need bash and FAISS dependencies to rebuild my local search index?▼

Yes, you need bash and FAISS dependencies to rebuild your local search index. The rebuild process requires executing a bash script that processes and indexes your brain notes using the FAISS vector search library.

What is the best way to maintain search accuracy for frequently updated notes?▼

The best way to maintain search accuracy for frequently updated notes is to periodically rebuild the FAISS vector index. This index maintenance guarantees that your semantic search queries retrieve the latest insights from your knowledge base.