Create a Local AI Agent with Ollama and Langchain Easily - Tutorial

 This video is a step-by-step tutorial to create an agentic application with Langchain and Ollama locally with function calling.

Code:

conda create -n agentic python=3.11 -y && conda activate agentic

pip install langchain-experimental

from langchain_experimental.llms.ollama_functions import OllamaFunctions

model = OllamaFunctions(model="llama3:8b", format="json")

model = model.bind_tools(

    tools=[

        {

            "name": "get_current_weather",

            "description": "Get the current weather in a given location",

            "parameters": {

                "type": "object",

                "properties": {

                    "location": {

                        "type": "string",

                        "description": "The city and state, " "e.g. San Francisco, CA",

                    },

                    "unit": {

                        "type": "string",

                        "enum": ["celsius", "fahrenheit"],

                    },

                },

                "required": ["location"],

            },

        }

    ],

    function_call={"name": "get_current_weather"},

)

from langchain_core.messages import HumanMessage

model.invoke("what is the weather in Boston?")