def create_vector_index()

in app/services/elasticsearch.py [0:0]

• 20 lines of code
• 1 McCabe index (conditional complexity)

def create_vector_index(client: Elasticsearch):
    """Create a vector index."""
    client.indices.create(
        index=ES_VECTOR_INDEX_NAME,
        ignore=400,
        body={
            "mappings": {
                "properties": {
                    "embedding": {
                        "type": "dense_vector",
                        "dims": 1536,
                    },
                    "page_content": {"type": "text"},
                    "metadata": {"type": "object"},
                    "article_id": {"type": "keyword"},
                    "chunk_id": {"type": "text"},
                    "article_hash": {"type": "keyword"},
                }
            }
        },
    )