I have a ton of documents that have been vectorized poorly / are using an old multimodal_field_combination.
mappings={
'combo_text_image': {
"type": "multimodal_combination",
"weights": {
"name": 0.05,
"description": 0.15,
"image_url": 0.8
}
}
},
But I need to update to
mappings={
'combo_text_image': {
"type": "multimodal_combination",
"weights": {
"name": 0.2,
"image_url": 0.8
}
}
},
I've realized that to do this in the same index, I should delete the documents and then reindex but I haven't been able to find a mq.delete_all_documents()
call. What's the best way to do this?
Here is a code snippet that would delete all documents from the index:
def empty_index(index_name):
index = mq.index(index_name)
res = index.search(q = '', limit=400)
while len(res['hits']) > 0:
id_set = []
for hit in res['hits']:
id_set.append(hit['_id'])
index.delete_documents(id_set)
res = index.search(q = '', limit=400)