OpenSearch-based AI Use Cases
The OpenSearch-based AI Use Cases series is a set of tutorials that use KakaoCloud Advanced Managed Search with AI technologies such as LLMs, vector search, and MCP (Model Context Protocol) to implement AI-based data use scenarios that can be applied in real service environments.
This series goes beyond simple keyword search and covers a range of OpenSearch-based AI workflows, including semantic search (Vector Search), RAG-based question answering (QA), and natural-language analysis of logs and operations data.
Tutorial structure
📄️ Implement vector search by integrating OpenSearch with OpenAI
Learn how to implement vector search by integrating OpenSearch with OpenAI.
📄️ Build a RAG-based Q&A system using OpenSearch and OpenAI
Learn how to build a RAG-based Q&A system using OpenSearch and OpenAI.
📄️ AI log analysis using OpenSearch MCP and Claude
Learn how to connect OpenSearch MCP with Claude Desktop to perform natural-language log analysis.