Zenn Hackathon Search FAQs

Question 1

Does it require specific API keys to function fully?

Accepted Answer

Yes, for database construction (vector indexing) and advanced features like Agentic RAG and natural language to SQL generation, OpenAI or Azure OpenAI API keys are required. These are configured in the `.env` file and MCP Server settings.

Question 2

How can I access or interact with Zenn Hackathon Search?

Accepted Answer

The tool offers two main ways to interact: a chat-based web UI for natural language queries and a MCP Server for direct access from AI agents like Claude Desktop, providing a powerful integration for advanced users.

Question 3

What kind of information can I find using this tool?

Accepted Answer

You can find projects by keywords, full-text content, view leaderboards, browse award-winning works with judge comments, analyze technical trends, and even generate SQL queries from natural language. Examples include 'RAGを使った受賞作品', 'Flutter × Gemini の組み合わせ', or 'いいね数トップ10'.

Question 4

What are the core technical capabilities of the Agentic RAG Chat?

Accepted Answer

The Agentic RAG Chat utilizes LangGraph for multi-turn search capabilities, allowing it to generate detailed answers by dynamically querying project data. It can answer complex questions that require synthesizing information from multiple sources.

Question 5

What is Zenn Hackathon Search?

Accepted Answer

Zenn Hackathon Search is an AI-powered system designed to search and analyze 393 submissions from the first three Zenn AI Agent Hackathons. It offers an Agentic RAG chat interface and direct MCP Server integration for in-depth exploration.

Zenn Hackathon Search

Zenn Hackathon Search

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례