FAIR-farfalle

An open-source AI-powered search engine in the field of research data management based on farfalle (a Perplexity analogue).

• 🛠️ Tech Stack
• 🛠️ Features
• 🏃🏿‍♂️ Getting Started
• 🚀 Deploy

🛠️ Tech Stack

• Frontend: Next.js
• Backend: FastAPI
• Search API: SearXNG, Tavily, Serper, Bing
• Logging: Logfire
• Rate Limiting: Redis
• Components: shadcn/ui

Features

• Search with multiple search providers (Tavily, Searxng, Serper, Bing)
• Answer questions with cloud models (OpenAI/gpt4-o, OpenAI/gpt3.5-turbo, Groq/Llama3)
• Answer questions with local models (llama3, mistral, gemma, phi3)
• Answer questions with any custom LLMs through LiteLLM
• Search with an agent that plans and executes the search for better results

🏃🏿‍♂️ Getting Started

Prerequisites

• Docker
• Ollama (If running local models)
  • Download any of the supported models: llama3, mistral, gemma, phi3
  • Start ollama server ollama serve

Quick Start:

git clone https://github.com/UB-Mannheim/FAIR-farfalle.git
cd FAIR-farfalle && cp .env-template .env

Modify .env with your API keys (Optional, not required if using Ollama)

Start the app:

docker-compose up -d

Wait for the app to start then visit http://localhost:3000.

For custom setup instructions, see custom-setup-instructions.md