# local-rag-demo

**Repository Path**: deepbluethinker/local-rag-demo

## Basic Information

- **Project Name**: local-rag-demo
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-12
- **Last Updated**: 2024-11-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Local RAG demo

Simple local RAG system that works with both PDF and CSV files. It uses Ollama to serve the embedding model (nomic-embed-text) and the LLM model (Llama3.1). The embedding are stored in a ChromaDB local database.

## Tools:
- [LangChain](https://www.langchain.com/)
- [Ollama](https://ollama.com/)
- [ChromaDB](https://www.trychroma.com/)

## Setup

```
# Clone the repository
git clone https://github.com/federicochiarello/local-rag-demo.git

# Install required libraries
python -m pip install -r requirements.txt
```

Save the pdf files under 'data/pdf/'.
Save the csv files under 'data/csv/'.

## Commands

### Create (or update) the database:
```
python populate_database.py
```

### Ask question:
```
python query_data.py "your question"
```