mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-05 19:08:32 +02:00
Prepare course structrure
This commit is contained in:
@@ -0,0 +1,21 @@
|
||||
---
|
||||
title: "How ColPali Models Work"
|
||||
description: Understand the inner workings of ColPali models and how they generate multi-vector representations for images and documents.
|
||||
weight: 1
|
||||
---
|
||||
|
||||
{{< date >}} Module 2 {{< /date >}}
|
||||
|
||||
# How ColPali Models Work
|
||||
|
||||
ColPali extends the late interaction paradigm from text to visual documents. It can process PDFs, images, and scanned documents, generating multi-vector representations that capture both textual and visual information.
|
||||
|
||||
Understanding ColPali's architecture helps you leverage its full potential for multi-modal document retrieval.
|
||||
|
||||
---
|
||||
|
||||
TBD
|
||||
|
||||
---
|
||||
|
||||
Next, we'll explore the different models in the ColPali family and their specific use cases.
|
||||
Reference in New Issue
Block a user