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pyproject.toml
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38 lines (38 loc) · 949 Bytes
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[project]
name = "rag-api"
version = "0.1.0"
description = "RAG API with document ingestion and conversational chat"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
# Core web framework
"fastapi[standard]>=0.128.0",
# Database
"sqlmodel>=0.0.32",
"asyncpg>=0.31.0",
"psycopg2-binary>=2.9.11",
"sqlalchemy[asyncio]>=2.0.46",
# Redis for chat memory
"redis>=7.1.0",
# Vector database
"qdrant-client>=1.0.0",
# ML dependencies (lightweight - ONNX only, no PyTorch)
"onnxruntime>=1.15.0",
"tokenizers>=0.20.0",
"numpy>=2.0.0",
# NLP processing
"spacy>=3.0.0",
# LLM integration
"aiohttp>=3.13.3",
# Chat optimization
"toons>=0.5.1",
# File processing
"pdfplumber>=0.10.0",
# Date parsing
"python-dateutil>=2.9.0",
# Configuration
"python-multipart>=0.0.6",
"python-dotenv>=1.2.1",
"chardet>=5.2.0",
"pip>=26.0.1",
]