# Agent with RAG Memory

This project demonstrates a simple RAG (Retrieval-Augmented Generation) agent that uses LangChain tools to perform basic operations via an interactive command line interface (CLI).

## Features

- **Add Numbers** – Add two integers using the `add_numbers` tool.
- **Search Items** – Search a predefined list of strings for a query using the `search_item` tool.
- **Interactive CLI** – Use `/add`, `/search`, and `/quit` commands to interact with the agent.

## Installation

```bash
# Clone the repository
git clone https://git.brojs.ru/kuzakhmetovartur/agent-s-rag-pamyatyu.git
cd agent-s-rag-pamyatyu

# Create a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate  # On Windows use `.venv\\Scripts\\activate`

# Install dependencies
pip install -r requirements.txt
```

## Usage

Run the CLI:

```bash
python -m src.main
```

You will see a prompt:

```
Welcome to the RAG Agent CLI!
Available commands:
  /add <int> <int>   - Add two numbers.
  /search <query>   - Search items in memory.
  /quit             - Exit the program.
```

### Commands

- **/add**  
  Add two integers.

  ```text
  >> /add 5 7
  Result: 12
  ```

- **/search**  
  Search the internal memory for a query string.

  ```text
  >> /search python
  Matches found:
    1. Python programming
  ```

- **/quit**  
  Exit the program.

  ```text
  >> /quit
  Goodbye!
  ```

## Project Structure

```
agent-s-rag-pamyatyu/
├── src/
│   ├── __init__.py
│   ├── cli.py
│   ├── main.py
│   └── tools.py
├── README.md
├── requirements.txt
└── pyproject.toml
```

## Dependencies

- `langchain` – The core library for building language model agents.
- `python-dotenv` – (Optional) For loading environment variables if needed.

## License

MIT License

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Feel free to extend the tools or the CLI to suit your needs!