langchain/templates/rag-redis-multi-modal-multi-vector/pyproject.toml

[tool.poetry]
name = "rag-redis-multi-modal-multi-vector"
version = "0.0.1"
description = "Multi-modal RAG using Redis as the vectorstore and docstore"
authors = ["Tyler Hutcherson <tyler.hutcherson@redis.com>"]
readme = "README.md"

[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = ">=0.1.5"
langchain-openai = ">=0.0.1"
redis = "^5.0.1"
openai = "<=2.0.0"
pypdfium2 = "^4.27.0"
pillow = "^10.2.0"


[tool.poetry.group.dev.dependencies]
langchain-cli = ">=0.0.21"
fastapi = ">=0.104.0,<1"
sse-starlette = "^1.6.5"

[tool.langserve]
export_module = "rag_redis_multi_modal_multi_vector"
export_attr = "chain"

[tool.templates-hub]
use-case = "rag"
author = "Redis"
integrations = ["OpenAI", "Redis"]
tags = ["vectordbs"]

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