# Agent with RAG Memory

This project demonstrates a simple Node.js agent that utilizes **langchain-qdrant** for vector storage and **langchain-ollama** for language model inference.

## Setup

```bash
# Install dependencies
npm install

# Run the agent
npm start
```

The agent will initialize a connection to a Qdrant instance (default URL: `http://localhost:6333`) and an Ollama LLM (default model: `llama2`). Adjust the configuration in `index.js` as needed for your environment.

## Dependencies

- `langchain-qdrant`: Vector store integration with Qdrant.
- `langchain-ollama`: LLM integration with Ollama.

Ensure that Qdrant and Ollama services are running locally or update the URLs accordingly.