handle both structured and unstructured data

from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk

es = Elasticsearch()

def index_documents(documents):
    actions = [
        {
            "_index": "hybrid_search",
            "_id": doc["id"],
            "_source": {
                "content": doc["content"],
                "vector": doc["embedding"]
            }
        }
        for doc in documents
    ]
    bulk(es, actions)

# Usage
docs = [
    {"id": 1, "content": "Java performance tuning", "embedding": [0.1, 0.2, ...]},
    {"id": 2, "content": "Optimizing database queries", "embedding": [0.3, 0.4, ...]}
]
index_documents(docs)