While trying to use a ConfluenceLoader using

I get an error when the loader dependencies are being pip installed. Specifically the pycairo package is giving me the error :

Has anyone else faced a similar issue and knows a fix ?

Does anyone have an idea about why this could be happening ?

1. I inserted 85 documents into a Weaviate class using the VectorIndex Store
2. Deleted one of the documents using the doc_id
3. Used the index.refresh() function with the same list of 85 documents

The expected behaviour was that I would now have 85 documents again in my DB, but this does not seem to be the case -> There are still only 84 documents.

Hi I'm trying to use Llama Index for insertions and updates to a Weaviate database but I'm having an issue with understanding a few things
When creating the Document object, I initialize it with
document_object = Document(text = "my_text", doc_id = "my_doc_id", extra_info = extra_info) . I then use index = GPTVectorStoreIndex.from_documents(all_docs, storage_context=storage_context) to initially insert the documents into the database
However I'm noticing that the doc_id that I send here is being stored in a ref_doc_id property in the Weaviate class, and the doc_id property being stored in the class is something that is auto-generated. This is a problem because I can't keep track of which chunks of the document I have inserted. In addition, this also means that I can't control if there are duplicate inserts. Is there any way to override the doc_id that is generated?