Building RAG using LangChain

RAG models are seq2seq models with access to a retrieval mechanism providing relevant context documents at training and evaluation time.

Setup

0. Install Python 3.12.5. Install Ollama and pull down Llama3.1 using following command on Terminal:

ollama pull llama3.1

1. Clone the repo

https://github.com/faranak-cs/rag.git

2. Creat virtual envrionment

python3 -m venv rag.env

3. Activate virtual environment

source rag.env/bin/activate

4. Install packages

python -m pip install -r requirements.txt

5. Populate database

python populate_database.py

6. Ask questions

python query_data.py "How many players are there in monopoly?"

Output