Level Up Your AI: A Winning Strategy for Providing Accurate Information

research #rag 📝 Blog|Analyzed: Mar 14, 2026 08:46•

Published: Mar 14, 2026 03:53

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1 min read

Analysis

This article details a fascinating journey in building a Pokemon card deck suggestion AI. The innovative approach of using file-based vector search for context retrieval demonstrates a clever way to overcome the limitations of external databases. The focus on efficiency and cost-effectiveness makes this a truly inspiring case study in applied Generative AI.

Key Takeaways

•The project aimed to create a Pokemon card deck suggestion AI.
•Initial attempts using URL context and function calling faced limitations.
•The solution involved using file-based vector search for efficient context retrieval, storing card data as embeddings.

Reference / Citation

"This is a problem of RAG (Retrieval-Augmented Generation)."

Z

Zenn GeminiMar 14, 2026 03:53

* Cited for critical analysis under Article 32.

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Source: Zenn Gemini