UdaPlay FAQs

Question 1

What is UdaPlay?

Accepted Answer

UdaPlay is an AI agent designed to answer questions about video games. It leverages a local vector database for game knowledge retrieval and an OpenAI-compatible Large Language Model (LLM) with tool-calling capabilities to provide dynamic and accurate responses.

Question 2

How does UdaPlay answer video game questions?

Accepted Answer

It uses a state machine to orchestrate an agentic workflow. This involves querying a local ChromaDB vector database, employing an LLM to interpret queries and call relevant tools (like semantic search or web search), and executing those tools to gather information before formulating a final answer.

Question 3

What kind of information can UdaPlay retrieve?

Accepted Answer

UdaPlay can answer questions based on the game metadata stored in its local vector database (e.g., game names, platforms, release years, descriptions) and can optionally perform web searches for information not present locally. It’s designed to provide precise game insights.

Question 4

What are the core technologies behind UdaPlay?

Accepted Answer

UdaPlay is built with Python and utilizes a local ChromaDB vector database, an OpenAI-compatible LLM for language understanding and tool-calling, and a custom state machine for workflow orchestration. It also features an optional MCP (Model Context Protocol) server and client for external tool delegation.

Question 5

Does UdaPlay maintain conversation context?

Accepted Answer

Yes, UdaPlay includes session memory, which allows it to maintain conversation context across interactions. This means follow-up questions can refer to previous turns, enabling more natural and continuous dialogues.

UdaPlay

소개

주요 기능

사용 사례