Introduction to Vector Search: Understanding the Mechanism Through Implementation
Published:Dec 24, 2025 00:57
•1 min read
•Zenn OpenAI
Analysis
This article, part of the Fusic Advent Calendar 2025, aims to demystify vector search, a crucial component in LLMs and RAG systems. The author acknowledges the increasing use of vector search in professional settings but notes a lack of understanding regarding its inner workings. To address this, the article proposes a hands-on approach: learning the fundamentals of vector search and implementing a minimal vector database in Go, culminating in a search demonstration. The article targets developers and engineers seeking a practical understanding of vector search beyond its abstract applications.
Key Takeaways
- •Vector search is increasingly important in LLM and RAG applications.
- •Many professionals lack a deep understanding of how vector search works.
- •The article provides a practical, hands-on approach to learning vector search by implementing a minimal vector database.
Reference
“LLMやRAGの普及でベクトル検索を業務で使ったり聞いたりすることはあるけれど、中で何が起きているのか理解している人はまだ少ないのではないでしょうか。”