pyproject.toml

[tool.poetry]
name = "vector-search-azure-cosmos-db-postgresql"
version = "0.1.0"
description = "This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision."
authors = ["Foteini Savvidou"]
license = "MIT license"
readme = "README.md"

[tool.poetry.dependencies]
python = "^3.10"
python-dotenv = "^1.0.1"
pandas = "^2.2.2"
requests = "^2.32.3"
tqdm = "^4.66.4"
unidecode = "^1.3.8"
psycopg2 = "^2.9.9"
azure-storage-blob = "^12.20.0"
azure-core = "^1.30.2"
pillow = "^10.4.0"
matplotlib = "^3.9.1"
ipykernel = "^6.29.5"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"