Hi Team ,
I am unable to find any documentation on ragas with recursive query engine , can anyone help ? The documentation present shows a normal query engine and not a recursive query engine

I am getting this error while using MarkDownElementNodeParser , how to fix it ?

232 try:
233 if self.low_memory:
--> 234 chunks = self._reader.read_low_memory(nrows)
235 # destructive to chunks
236 data = _concatenate_chunks(chunks)

File parsers.pyx:838, in pandas._libs.parsers.TextReader.read_low_memory()

File parsers.pyx:905, in pandas._libs.parsers.TextReader._read_rows()

File parsers.pyx:874, in pandas._libs.parsers.TextReader._tokenize_rows()

File parsers.pyx:891, in pandas._libs.parsers.TextReader._check_tokenize_status()

File parsers.pyx:2061, in pandas._libs.parsers.raise_parser_error()

ParserError: Error tokenizing data. C error: EOF inside string starting at row 5

@Logan M/ @ravitheja / @Jerry Liu Our Org has wrapped the Azure Open AI and makes the completion and embedding capabilities available via REST endpoints and keys. Is there a way to integrate that with LlamaIndex so that it refers to this as the LLM and Embedded model.

Hi team, I am trying to follow the documentation of llama parse where you have used a manga document to extract the latex equations. However, when I reproduce the same example, on my end, I could see that the output of the parsing instruction came out as the one without a parsing instruction. Could you guys please take a look into that?

@kapa.ai Hi team , when working with Markdown parser I got an error when it encountered the statement

nodes = node_parser.get_nodes_from_documents(documents)

My documents is a llama-parse output for a 75 page document with some additional text in it. Getting an error in low memory , any way out of this ?

Any way to extract page wise content using Llama Parse