Literary AI: Discovering Authorial Kin with Cloudflare Vectorization
research#embeddings📝 Blog|Analyzed: Feb 14, 2026 03:32•
Published: Feb 13, 2026 15:30
•1 min read
•Zenn MLAnalysis
This project offers a fascinating application of AI, using Cloudflare Vectorize and Gemini Embedding API to analyze 17,000 works from Aozora Bunko. The results, matching authors based on their writing styles, provide an intriguing look into literary connections and demonstrate the power of AI in understanding subtle relationships within text.
Key Takeaways
- •The project uses Cloudflare Vectorize and Gemini Embedding API to create vector representations of literary works.
- •The analysis successfully identifies literary connections, such as the closeness between Natsume Soseki and Mori Ogai.
- •The project segments texts to improve embedding accuracy, demonstrating thoughtful technical design.
Reference / Citation
View Original"The results, matching authors based on their writing styles, provide an intriguing look into literary connections."