Skip to content

quick-start.md

Latest commit

 

History

History
68 lines (49 loc) · 1.87 KB

quick-start.md

File metadata and controls

68 lines (49 loc) · 1.87 KB

Quick Start Guide

Get up and running with Prisma in minutes.

Prerequisites

  1. Python 3.12+ with Poetry
  2. Ollama installed with llama3.1:8b model
  3. Zotero with research library (optional for basic testing)

Installation

# Clone the repository
git clone https://github.com/CServinL/prisma.git
cd prisma

# Set up Python environment with Poetry
poetry install
poetry shell

# Test the CLI
poetry run prisma --help

Your First Research Stream

# Create a research stream for continuous monitoring
poetry run prisma streams create "Neural Networks 2024" "neural networks transformer attention" --frequency weekly

# List your research streams
poetry run prisma streams list

# Update all streams to find new papers
poetry run prisma streams update --all

# Generate a literature review (classic approach)
poetry run prisma review "machine learning" --output "ml_review.md"

Research Streams in Action

# Create focused research streams
prisma streams create "AI Ethics" "artificial intelligence ethics bias fairness" --frequency weekly
prisma streams create "Quantum ML" "quantum machine learning" --frequency monthly

# Monitor and update
prisma streams summary              # Overview of all streams
prisma streams update --all         # Find new papers in all streams
prisma streams info ai-ethics      # Detailed stream information

What You Get

  • Executive Summary: Key findings and trends
  • Paper Summaries: Structured analysis of each paper
  • Comparative Analysis: Trends, gaps, and conflicts
  • Recommendations: Future research directions
  • Raw Data: CSV/JSON exports for further analysis

Next Steps