vector-search
Vector Search for Construction
Overview
Based on DDC methodology (Chapter 4.4), this skill implements semantic vector search for construction data. Move beyond keyword matching - find documents and data by meaning, not just words.
Book Reference: "Современные технологии работы с данными" / "Modern Data Technologies"
"Векторные базы данных позволяют находить семантически похожие документы, даже если они используют разную терминологию." — DDC Book, Chapter 4.4
Quick Start
from sentence_transformers import SentenceTransformer
from qdrant_client import QdrantClient
from qdrant_client.models import VectorParams, Distance, PointStruct
# Initialize embedding model
model = SentenceTransformer('all-MiniLM-L6-v2')
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