# Core pipeline
transformers>=4.40.0
datasets>=2.20.0
torch>=2.2
faiss-cpu>=1.7.4
pyserini>=0.16.0
sentence-transformers>=2.7
langchain>=0.1.0
ragas>=0.1.0
trulens-eval>=0.21.0
evaluate
datasets

# Data & science
pandas>=2.2
scikit-learn>=1.4
numpy>=1.26
tqdm>=4.66
sentencepiece>=0.1.99
pyyaml>=6.0

# Visualisation / dashboard
matplotlib>=3.8      
streamlit>=1.33