f1-rag-ai

KO | EN

gitlite — search

#javascript #llm #go #android #linux #docker #macos #awesome #kubernetes #awesome-list #pytorch #mcp #ios #openai

(★ 77)

This project contains a simple RAG Application created using TypeScript.

f1-rag-ai 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# F1-AI: Retrieval-Augmented Generation (RAG) Application

## Overview

F1-AI is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI's GPT-4 model and a vector database to provide context-aware answers to questions about Formula 1 racing. This project demonstrates how to build a RAG application using TypeScript, OpenAI, DataStax Astra DB, and Playwright.

## Prerequisites

- [Node.js](https://nodejs.org/en/download/)
- [OpenAI API Key](https://beta.openai.com/signup/)
- [DataStax Astra DB](https://astra.datastax.com/register)

## Installation

1. Clone the repository:

```bash
git clone https://github.com/IAmTomShaw/f1-rag-ai.git
```

2. Install the dependencies:

```bash
cd f1-rag-ai
npm install
```

## Configuration

You'll need to paste your OpenAI API key and DataStax Astra DB credentials into the relevant files, or create a `.env` file in the root directory with the following environment variables:

```bash
OPENAI_API_KEY=your-openai-api-key
ASTRA_DB_ID=your-astra-db-id
ASTRA_DB_REGION=your-astra-db-region
ASTRA_DB_USERNAME=your-astra-db-username
ASTRA_DB_PASSWORD=your-astra-db-password
```

You'll then need to make sure that these environment variables are referenced in your code and loaded correctly.

## Usage

You can modify the list of urls that I am scraping in the `src/ingest.ts` file. You can then run the following command to scrape the data:

```bash
npm run ingest
```

This will scrape the data from the urls and store it in the Astra DB.

You can then run the following command to test the RAG application using the query defined in the `src/answer.ts` file:

```bash
npm run answer
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Credit

This project was created by [Tom Shaw](https://tomshaw.dev)

f1-rag-ai

f1-rag-ai 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

f1-rag-ai

f1-rag-ai 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README