Created sample project for pydantic agent with local ollama model with mcp server integration.
Overview
What is the Ollama Pydantic Project?
The Ollama Pydantic Project is a sample project that demonstrates how to integrate a local Ollama model with the Pydantic agent framework, enabling the creation of an intelligent chatbot agent connected to an MCP server.
How to use the Ollama Pydantic Project?
To use the project, clone the repository, set up a virtual environment, install the required dependencies, ensure the Ollama server is running, and then run the Streamlit application to interact with the chatbot.
Key features of the Ollama Pydantic Project?
- Local Ollama model integration for generating responses.
- Pydantic framework for data validation and interaction.
- Connection to an MCP server for enhanced agent capabilities.
- User-friendly chatbot interface built with Streamlit.
Use cases of the Ollama Pydantic Project?
- Creating intelligent chatbots for customer support.
- Developing interactive applications that require natural language processing.
- Building tools that utilize machine learning models for data-driven responses.
FAQ from the Ollama Pydantic Project?
- What is required to run the project?
You need Python 3.8 or higher, a local Ollama server, and an MCP server set up.
- Is there a user interface?
Yes, the project provides a Streamlit-based user interface for interacting with the chatbot.
- Can I contribute to the project?
Yes, contributions are welcome! You can open issues or submit pull requests.