ConvAI

소개

This system provides a robust conversational AI virtual agent, exposed as a REST API, designed to intelligently respond to user queries about movies from the MovieLens dataset and provide real-time weather information. Leveraging a sophisticated multi-agent LangGraph workflow, it employs specialized agents for smart routing, intent classification, entity extraction, and tool execution (like SQL generation and weather API calls). It features a clean service layer, persistent conversational context, support for multiple LLM providers (Ollama, OpenAI, Groq), and an optional Streamlit web UI for an interactive chat experience, making it a comprehensive solution for building intelligent conversational interfaces.

주요 기능

• Multi-Agent Architecture for intelligent query routing and processing
• 0 GitHub stars
• RESTful API and interactive Streamlit web UI for seamless interaction
• Tool Calling for automatic SQL query generation and external API calls (e.g., weather)
• Support for multiple LLM providers including Ollama, OpenAI, and Groq
• Natural Language Queries for movie details and weather forecasts

사용 사례

• Exploring and implementing multi-agent systems with LangGraph for AI applications
• Developing custom movie recommendation or information chatbots
• Creating multi-domain virtual assistants with conversational context