abrahul-107 / langchainandrag

An exploration of LangChain and RAG (Retrieval-Augmented Generation) for building intelligent applications

LangchainAndRAG

An exploration of LangChain and RAG (Retrieval-Augmented Generation) for building intelligent applications

LangchainAndRAG

An exploration of LangChain and RAG (Retrieval-Augmented Generation) for building intelligent applications. This repository includes a Streamlit app that generates restaurant names and menu items based on given recipes using LangChain with Together AI.

Requirements

• Python 3.12
• Docker (for containerized deployment)
• Together AI API Key

Installation

Local Setup

1. Clone the repository:

   git clone https://github.com/yourusername/LangchainAndRAG.git
   cd LangchainAndRAG
   

2. Create a virtual environment and activate it:

   python3.12 -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required packages:

   pip install --upgrade pip
   pip install -r requirements.txt
   

4. Create a .env file in the project root and add your Together AI API key:

   echo "API_KEY=your_actual_api_key_here" > .env

5. Run the Streamlit app:

   streamlit run 01_langchainstreamlit.py

6. Docker Setup

   • Build the Docker image:

   docker build -t streamlit-langchain-app .

   • Run the Docker container:

   docker run -p 8501:8501 -e API_KEY=your_actual_api_key_here 

   • streamlit-langchain-app.py.

Usage

Streamlit App Open your web browser and go to http://localhost:8501.

• Enter a recipe in the text input field (e.g., "dal").

• Click the "Generate" button to see the generated restaurant names and suggested menu items.