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faiss-index

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Semantic search, optimized.

Data & Analytics#vector#index#embedding#semantic-search#faiss
Authortklee
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: faiss-index
Download link: https://github.com/tklee/agentic-layer/archive/main.zip#faiss-index

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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