From 13bd83f1903155bed19c8bc1b463e667e0f4ec52 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=B2=D0=B3=D0=B5=D0=BD=D0=B8=D1=8F=20=D0=A1=D1=83?= =?UTF-8?q?=D1=85=D0=BE=D0=B4=D0=BE=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Mon, 9 Jun 2025 15:38:39 +0200 Subject: [PATCH] featured --- qdrant-landing/content/blog/n8n-node.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/qdrant-landing/content/blog/n8n-node.md b/qdrant-landing/content/blog/n8n-node.md index 17f039883..9a536514c 100644 --- a/qdrant-landing/content/blog/n8n-node.md +++ b/qdrant-landing/content/blog/n8n-node.md @@ -7,7 +7,7 @@ description: Qdrant now has an official, team-supported node for n8n. preview_image: /blog/n8n-node/n8n-node-blog-hero.jpg date: 2025-06-09 author: Maddie Duhon & Evgeniya Sukhodolskaya -featured: false +featured: true tags: - news - blog @@ -35,6 +35,7 @@ The Qdrant node is available for **both cloud and self-hosted n8n instances**, s ## Start Using it Now: How to Install & Use the Node for Hybrid Search We filmed a short demo for you on how to use this new node for **hybrid search** in Qdrant, as we thought it would be super handy for you to know how to combine the precision of keyword-based (sparse) search with the semantic power of dense embeddings in your n8n solutions. + It's especially valuable in domains like legal or medical, where both exact matches and contextual understanding are crucial, so we love that you now have access to a method that delivers relevant results for complex, domain-specific queries! This toy example walks you through fusing dense and lexical hybrid search results using Reciprocal Rank Fusion (RRF).