faiss-index

Build, load, and update FAISS vector indexes for semantic search.

Updated Aug 23, 2026

Search Tags:#vector #index #embedding #semantic-search #faiss

One-click install

npx skills add https://github.com/tklee/agentic-layer --skill faiss-index

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: faiss-index
Source: https://github.com/tklee/agentic-layer/tree/main/.claude/skills/faiss-index
Command: npx skills add https://github.com/tklee/agentic-layer --skill faiss-index

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides the building, loading, and updating of FAISS vector indexes for fast semantic search in content-index, handling vector embeddings and index persistence.

Core Features & Use Cases

Index Build: Create and train FAISS indexes from embedded vectors.
Incremental Updates: Add new vectors or trigger full rebuilds as needed.
Index Validation: Verify index load status and vector counts after deployment.

Quick Start

Build a FAISS IVF index from embeddings, store it to storage, and restart content-index to load the new index.