diff --git a/qdrant-landing/content/blog/case-study-fieldy.md b/qdrant-landing/content/blog/case-study-fieldy.md index 222cbdeaf..352cf1288 100644 --- a/qdrant-landing/content/blog/case-study-fieldy.md +++ b/qdrant-landing/content/blog/case-study-fieldy.md @@ -21,6 +21,8 @@ tags: ## **Fieldy AI’s migration to Qdrant: Building a fault-tolerant AI memory platform** +![How Fieldy AI Achieved Reliable AI Memory with Qdrant](/blog/case-study-fieldy/case-study-fieldy-bento-dark.jpg) + ### Capturing and retrieving a lifetime of conversations Fieldy is a hands-free wearable AI note taker that continuously records, transcribes, and organizes real-world conversations into your personal, searchable memory. The system’s goal is simple in concept but demanding in execution: capture every relevant spoken interaction, transcribe it with high accuracy, and make it instantly retrievable. This requires a robust ingestion pipeline, a scalable [vector search](https://qdrant.tech/documentation/overview/) layer, and a retrieval process capable of handling growing volumes of multimodal data without introducing latency or errors. diff --git a/qdrant-landing/static/blog/case-study-fieldy/case-study-fieldy-bento-dark.jpg b/qdrant-landing/static/blog/case-study-fieldy/case-study-fieldy-bento-dark.jpg new file mode 100644 index 000000000..435e7aa2e Binary files /dev/null and b/qdrant-landing/static/blog/case-study-fieldy/case-study-fieldy-bento-dark.jpg differ diff --git a/qdrant-landing/static/blog/case-study-fieldy/social_preview_partnership-fieldy.jpg b/qdrant-landing/static/blog/case-study-fieldy/social_preview_partnership-fieldy.jpg new file mode 100644 index 000000000..cf70c040a Binary files /dev/null and b/qdrant-landing/static/blog/case-study-fieldy/social_preview_partnership-fieldy.jpg differ