Thursday, June 20, 2024

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.


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(
            "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?")

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