DataILama

DataILama is a tool for managing and analyzing research papers using AI. It provides a web interface and API for searching, analyzing, and managing academic papers.

Features

• Web interface for paper management
• AI-powered paper analysis
• REST API for programmatic access
• Vector search capabilities

Installation

From Release

1. Download the latest release from the releases page
2. Choose the appropriate binary for your system
3. Make it executable (Linux/macOS):

   chmod +x datailama-<os>-<arch>

4. Run the server:

   ./datailama-<os>-<arch> serve

From Source

1. Clone the repository:

   git clone https://github.com/hydrocode-de/datailama.git
   cd datailama

2. Build the frontend:

   cd frontend
   npm install
   npm run build
   cd ..

3. Build the Go binary:

   go build

4. Run the server:

   ./datailama serve

Configuration

The server can be configured using environment variables or command-line flags:

• DATAILAMA_PORT: Port to listen on (default: 8080)
• DATAILAMA_DB_URL: Database connection URL
• DATAILAMA_OLLAMA_URL: Ollama server URL

Development

Prerequisites

• Go 1.23 or later
• Node.js 20 or later
• PostgreSQL database
• Ollama server

Running Tests

# Build frontend
cd frontend && npm install && npm run build && cd ..

# Run Go tests
go test -v ./...