rayed-therap / llamachain

Ollama Langchain Devcontainer

llamachain

Ollama Langchain Devcontainer

Install Docker

• Install Docker
• Follow the post installation steps
• Install Docker Compose

Download project

git clone [e-mail]:rayedbw/llamachain.git
cd llamachain

Setup vscode

• Open the project in vscode code .
• Install the Dev Container extension pack
• Ctrl + Shift + P to open the command palette and type Rebuild and Reopen in Container

Pull Llama2 model

In a terminal window outside of the container run the following to download the llama2 model in your container:

docker exec llamachain-ollama-1 ollama pull llama2

Run the application in vscode

python src/main.py or press F5

Try different LLM models

docker exec llamachain-ollama-1 ollama pull gemma to try the gemma model

Don't forget to actually use the model in your code by changing the model parameter.

from langchain_community.chat_models.ollama import ChatOllama

llm = ChatOllama(model="gemma", base_url=os.environ["OLLAMA_BASE_URL"])

To use OpenAI

• Create an api key from the OpenAI website
• Create a .env file at the project root
• Add OPENAI_API_KEY=<your_api_key>