case-study-spoonos

qdrant-landing/content/blog/case-study-portfolio-mind.md

@@ -3,8 +3,8 @@ draft: false
 title: "How PortfolioMind Delivered Real-Time Crypto Intelligence with Qdrant"
 short_description: "PortfolioMind leverages Qdrant to transform noisy crypto research into personalized real-time intelligence."
 description: "Discover how PortfolioMind achieved significant reductions in latency and boosts in engagement by modeling real-time user intent with Qdrant."
-preview_image: /blog/case-study-portfoliomind/social_preview_partnership-portfoliomind.jpg
-social_preview_image: /blog/case-study-portfoliomind/social_preview_partnership-portfoliomind.jpg
+preview_image: /blog/case-study-portfoliomind/case-study-spoonos-preview.jpg
+social_preview_image: /blog/case-study-portfoliomind/case-study-spoonos-preview.jpg
 date: 2025-07-29
 author: "Daniel Azoulai"
 featured: false
@@ -34,6 +34,9 @@ PortfolioMind adopted Qdrant to translate intricate user interactions into actio
 
 The system ingests diverse data including news, tokenomics, whale behaviors, portfolio histories, and interactions with DeFi/NFT dashboards, embedding each data type with rich metadata (chain, token symbol, timestamps). Using HDBSCAN clustering, PortfolioMind identifies user-specific micro-interests, creating a dynamic, multivector representation of each user's intent.
 
+![architecture](/blog/case-study-portfoliomind/spoonos-architecture.png)
+
+
 ### Why PortfolioMind chose Qdrant
 
 PortfolioMind previously experimented with other vector databases but selected Qdrant for several critical capabilities: