requirements.txt

# Benchmark suite requirements
# Install: pip install -r benchmarks/requirements.txt

# --- Core (required by all benchmarks) ---
python-dotenv>=1.0.1
tqdm>=4.60.0
numpy>=1.24.0
xxhash>=3.5.0
openai>=1.52.1
# Pin gensim (transitive): older versions fail on Python 3.13 + modern numpy
gensim>=4.3.0
# Pin scipy so pip uses pre-built wheels (avoids building from source + OpenBLAS on macOS)
scipy>=1.14.0

# --- This project (neocortex) ---
# Install from repo root:  pip install -e .

# --- fast_graphrag (separate package, used by some external framework benchmarks) ---
fast-graphrag

# --- External RAG frameworks ---
lightrag-hku>=1.0.0
nano-graphrag>=0.0.8
graphrag>=1.0.0
cognee>=0.1.0

protego>=0.1
playwright>=1.9.0

# --- GraphRAG config ---
pyyaml>=6.0

# --- RAGAS quality evaluation (optional) ---
ragas>=0.1.0
datasets>=2.14.0

# --- Google Gemini ---
google-generativeai>=0.8.0

# --- Report formatting (optional) ---
tabulate>=0.9.0
rapidfuzz

# --- Jupyter notebooks ---
jupyter>=1.0.0
nest_asyncio>=1.5.0
ipywidgets>=8.0.0