Semantic Search Setup Skill

Overview

This skill sets up vector embedding infrastructure for semantic search. Unlike keyword search (FTS5), semantic search finds conceptually similar content even without exact word matches.

Quick Start

from sentence_transformers import SentenceTransformer
import numpy as np

model = SentenceTransformer('all-MiniLM-L6-v2')

# Generate embeddings
texts = ["How to fix a bug", "Debugging software issues"]
embeddings = model.encode(texts, normalize_embeddings=True)