Get Instant AI Answers & Real-time Weather Forecasts
Deliver instant, accurate answers to user queries and real-time weather forecasts, reducing manual research time by over 90%.
Manually searching for information and providing contextual answers drains time and resources. This workflow instantly delivers accurate responses and real-time weather forecasts using an intelligent AI agent with conversational memory.
Documentation
AI-Powered Conversational Assistant with Weather & Wikipedia
This workflow sets up a sophisticated AI conversational agent that can engage in natural dialogue, recall past interactions, and leverage external tools like Wikipedia for general knowledge and a real-time weather API for specific forecasts. It's ideal for enhancing customer support, internal knowledge bases, or personal assistants.
Key Features
- Intelligent conversational AI powered by Ollama for dynamic interactions.
- Contextual memory retaining the last 20 messages for seamless follow-up questions.
- Access to Wikipedia for comprehensive general knowledge and factual lookups.
- Real-time weather data integration to provide current conditions and forecasts for any location.
- Customizable system message to guide agent behavior and capabilities.
How It Works
The workflow initiates with a manual chat message trigger. This input is fed into an AI Agent, which uses an Ollama chat model for its reasoning capabilities. The agent is equipped with a 'Window Buffer Memory' to maintain conversation context over the last 20 messages. Crucially, it has access to two external tools: a Wikipedia tool for general inquiries and a custom HTTP Request tool that fetches real-time weather data from Open-Meteo. The AI Agent intelligently decides which tool to use based on the user's query and responds accordingly.