From 5a043f4d575f01bf8db474bae5f43088dae4086f Mon Sep 17 00:00:00 2001 From: Olivier Ruas Date: Thu, 23 Jan 2025 11:57:04 +0100 Subject: [PATCH] [Website] removing broken link (#8054) GitOrigin-RevId: 26c7e0dab88c4168cec5d96f28c1fa02454ef0ef --- .../4.user-guide/50.llm-xpack/40.unstructed-data.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/2.developers/4.user-guide/50.llm-xpack/40.unstructed-data.md b/docs/2.developers/4.user-guide/50.llm-xpack/40.unstructed-data.md index 05e66ce5..3bf7074f 100644 --- a/docs/2.developers/4.user-guide/50.llm-xpack/40.unstructed-data.md +++ b/docs/2.developers/4.user-guide/50.llm-xpack/40.unstructed-data.md @@ -12,5 +12,5 @@ Unstructured data poses a challenge for traditional data processing techniques. Using Pathway LLM tooling, you can efficiently handle this type of data. There are two main approaches for ingesting unstructured data: -1. Using a dedicated library: you can use libraries such as [Unstructured](https://unstructured.io/) to parse the unstructured data (PDFs, PPTX, etc.) ingested by Pathway. You can learn more about how to do this in our [Contextful Parsing RAG pipeline example](https://github.com/pathwaycom/llm-app/tree/main/examples/pipelines/contextful_parsing). +1. Using a dedicated library: you can use libraries such as [Unstructured](https://unstructured.io/) to parse the unstructured data (PDFs, PPTX, etc.) ingested by Pathway. 2. Using LLM directly: using LLMs, you can directly query unstructured data such as PDFs. For example, you can structure data on the fly and insert them into PostgreSQL: read our [dedicated article](/developers/templates/unstructured-to-structured) to learn how to do it.