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Personally I find it frustrating they called it "agentic" parsing when there's nothing agentic about it. Not surprised the quality is lackluster.


we're not the biggest believers in 'agentic' parsing! we definitely do believe there's a specific role for LLMs in the data ingestion pipeline, but this occurs more when bar graphs/charts/figures -> structured markdown.

we're messing around with some agentic zooming around documents internally, will make our findings public!


If you want to try agentic parsing we added support for sonnet-3.7 agentic parse and gemini 2.0 in llamaParse. cloud.llamaindex.ai/parse (select advanced options / parse with agent then a model)

However this come at a high cost in token and latency, but result in way better parse quality. Hopefully with new model this can be improved.




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