requirements.txt

# Core dependencies for RAG Mastery Hub
# Production-ready RAG implementation with Grok API

# LLM API Clients
requests>=2.31.0
openai>=1.3.0  # For OpenAI embeddings (optional)

# Environment and Configuration
python-dotenv>=1.0.0

# Vector Databases
chromadb>=0.4.0  # For local vector storage
pinecone-client>=3.0.0  # For cloud vector storage (optional)

# Embeddings
sentence-transformers>=2.2.0  # For local embeddings and reranking
cohere>=4.0.0  # For Cohere embeddings (optional)

# Text Processing
nltk>=3.8.0
spacy>=3.6.0

# Data Processing
numpy>=1.24.0
pandas>=2.0.0

# Async and HTTP
httpx>=0.24.0
aiohttp>=3.8.0

# Knowledge Graphs
networkx>=3.1  # For graph operations
neo4j>=5.0.0  # For production KG (optional)

# Multi-Agent Frameworks (optional)
langchain>=0.1.0
langchain-community>=0.0.10
langgraph>=0.0.20
pyautogen>=0.2.0
crewai>=0.1.0

# Monitoring and Observability
prometheus-client>=0.17.0

# Testing
pytest>=7.4.0
pytest-asyncio>=0.21.0
pytest-cov>=4.1.0

# Code Quality
black>=23.7.0
flake8>=6.1.0
mypy>=1.5.0
isort>=5.12.0

# Documentation
mkdocs>=1.5.0
mkdocs-material>=9.2.0

# Development
ipython>=8.14.0
jupyter>=1.0.0