Row 26066

Row ID: 26066 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 26066 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

>Thanks, Unstructured and Docugami look interesting, but they both do blackbox magic on top of documents.

This is true for Docugami, that is why I was not sure whether to included it in my comment. But Unstructured provides the full suite opensource as well with docs - besides the paid API and the platform. [https://docs.unstructured.io/open-source/introduction/overview](https://docs.unstructured.io/open-source/introduction/overview) [https://github.com/Unstructured-IO](https://github.com/Unstructured-IO)

A few days ago, I had to quickly get into prepossessing pdf-s for LLM-s (the task itself is unfortunately a hornets' nest, its not an easy thing to solve), that's how I have found Unstructured and a bunch of other stuff. Other materials - which I have found, and might be interest to you: [https://medium.com/@jerryjliu98/how-unstructured-and-llamaindex-can-help-bring-the-power-of-llms-to-your-own-data-3657d063e30d](https://medium.com/@jerryjliu98/how-unstructured-and-llamaindex-can-help-bring-the-power-of-llms-to-your-own-data-3657d063e30d) [https://medium.com/@anuragmishra\_27746/five-levels-of-chunking-strategies-in-rag-notes-from-gregs-video-7b735895694d#b123](https://medium.com/@anuragmishra_27746/five-levels-of-chunking-strategies-in-rag-notes-from-gregs-video-7b735895694d#b123) [https://github.com/tstanislawek/awesome-document-understanding](https://github.com/tstanislawek/awesome-document-understanding)

FieldValue
text >Thanks, Unstructured and Docugami look interesting, but they both do blackbox magic on top of documents. This is true for Docugami, that is why I was not sure whether to included it in my comment. But Unstructured provides the full suite opensource as well with docs - besides the paid API and the platform. [https://docs.unstructured.io/open-source/introduction/overview](https://docs.unstructured.io/open-source/introduction/overview) [https://github.com/Unstructured-IO](https://github.com/U…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-21
username_encoded Z0FBQUFBQm5Lak1EVE5tcFZVZ1ptUUVTNHplN05jTHR0X1VvVjNQNWpwR1VyandZOGR5TjRWUUUyVG10RGdjV3VEWFNkRHV1WXJyYktrQU9vYmg1NmFKN2FTRUdFUnBEWEE9PQ==
url_encoded Z0FBQUFBQm5Lak9TVFRCQmw1REJqUjUySkt2T1pLRzE5NjhidFhfMWdqSHZHNVVyU3hkRHh6VnVHR185ckZZQkFJSlp2cmV0MkhjeEE3Tkw1TEdzNkpNMlRrOHA0dllBQ2h4dXBZanBKbWNKZmdCYjROVV91Z1BLeEtzZXFRZEpPemI2U1N3c003LVh0RDBBOW5YbE9zelUzZE43YV9WUkV5N3NiZXdKSlhGQURJeFZTaEU1UXpDVGw2Um5ad2tZa0JEWjVOU0x4bU5KeU5CMi1JLURlUTlrNmg0Z0p6a3dKQT09

Raw Record

{
  "text": ">Thanks, Unstructured and Docugami look interesting, but they both do blackbox magic on top of documents.\n\nThis is true for Docugami, that is why I was not sure whether to included it in my comment. But Unstructured provides the full suite opensource as well with docs - besides the paid API and the platform.  \n[https://docs.unstructured.io/open-source/introduction/overview](https://docs.unstructured.io/open-source/introduction/overview)  \n[https://github.com/Unstructured-IO](https://github.com/Unstructured-IO)\n\nA few days ago, I had to quickly get into prepossessing pdf-s for LLM-s (the task itself is unfortunately a hornets' nest, its not an easy thing to solve), that's how I have found Unstructured and a bunch of other stuff. Other materials - which I have found, and might be interest to you:  \n[https://medium.com/@jerryjliu98/how-unstructured-and-llamaindex-can-help-bring-the-power-of-llms-to-your-own-data-3657d063e30d](https://medium.com/@jerryjliu98/how-unstructured-and-llamaindex-can-help-bring-the-power-of-llms-to-your-own-data-3657d063e30d)  \n[https://medium.com/@anuragmishra\\_27746/five-levels-of-chunking-strategies-in-rag-notes-from-gregs-video-7b735895694d#b123](https://medium.com/@anuragmishra_27746/five-levels-of-chunking-strategies-in-rag-notes-from-gregs-video-7b735895694d#b123)  \n[https://github.com/tstanislawek/awesome-document-understanding](https://github.com/tstanislawek/awesome-document-understanding)",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lak1EVE5tcFZVZ1ptUUVTNHplN05jTHR0X1VvVjNQNWpwR1VyandZOGR5TjRWUUUyVG10RGdjV3VEWFNkRHV1WXJyYktrQU9vYmg1NmFKN2FTRUdFUnBEWEE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9TVFRCQmw1REJqUjUySkt2T1pLRzE5NjhidFhfMWdqSHZHNVVyU3hkRHh6VnVHR185ckZZQkFJSlp2cmV0MkhjeEE3Tkw1TEdzNkpNMlRrOHA0dllBQ2h4dXBZanBKbWNKZmdCYjROVV91Z1BLeEtzZXFRZEpPemI2U1N3c003LVh0RDBBOW5YbE9zelUzZE43YV9WUkV5N3NiZXdKSlhGQURJeFZTaEU1UXpDVGw2Um5ad2tZa0JEWjVOU0x4bU5KeU5CMi1JLURlUTlrNmg0Z0p6a3dKQT09"
}
Explore Dataset Explore Row

Entry Information