mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-03 01:48:32 +02:00
Update case-study-and-ai.md
This commit is contained in:
@@ -3,9 +3,9 @@ draft: false
|
||||
title: "How AndAI scaled global legal retrieval with Qdrant"
|
||||
short_description: "AndAI uses Qdrant to enable high-accuracy patent retrieval workflows for attorneys."
|
||||
description: "Discover how AndAI scaled to over a billion vectors and 250B+ tokens using Qdrant Cloud — enabling their AI patent agent to deliver verifiable, high-value results for litigators."
|
||||
preview_image: /blog/case-study-and-ai/and-ai-bento.jpg
|
||||
social_preview_image: /blog/case-study-and-ai/and-ai-bento.jpg
|
||||
date: 2025-06-26
|
||||
preview_image: /blog/case-study-and-ai/and-ai-social-preview.jpg
|
||||
social_preview_image: /blog/case-study-and-ai/and-ai-social-preview.jpg
|
||||
date: 2025-07-15
|
||||
author: "Daniel Azoulai"
|
||||
featured: true
|
||||
tags:
|
||||
@@ -17,7 +17,7 @@ tags:
|
||||
- patent law
|
||||
---
|
||||
|
||||

|
||||

|
||||
|
||||
## How \&AI scaled global patent retrieval with Qdrant
|
||||
|
||||
|
||||
Reference in New Issue
Block a user