mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
3449fce273
![Screenshot 2023-12-13 at 12 53 39 PM](https://github.com/langchain-ai/langchain/assets/122662504/a6bc3b0b-f177-4367-b9c8-b8862c847026)
40 lines
836 B
TOML
40 lines
836 B
TOML
[tool.poetry]
|
|
name = "rag-gemini-multi-modal"
|
|
version = "0.1.0"
|
|
description = "Multi-modal RAG using Gemini and OpenCLIP embeddings"
|
|
authors = [
|
|
"Lance Martin <lance@langchain.dev>",
|
|
]
|
|
readme = "README.md"
|
|
|
|
[tool.poetry.dependencies]
|
|
python = ">=3.9,<4.0"
|
|
langchain = ">=0.0.350"
|
|
openai = "<2"
|
|
tiktoken = ">=0.5.1"
|
|
chromadb = ">=0.4.14"
|
|
open-clip-torch = ">=2.23.0"
|
|
torch = ">=2.1.0"
|
|
pypdfium2 = ">=4.20.0"
|
|
langchain-experimental = "^0.0.43"
|
|
langchain-google-genai = ">=0.0.1"
|
|
|
|
[tool.poetry.group.dev.dependencies]
|
|
langchain-cli = ">=0.0.15"
|
|
|
|
[tool.langserve]
|
|
export_module = "rag_gemini_multi_modal"
|
|
export_attr = "chain"
|
|
|
|
[tool.templates-hub]
|
|
use-case = "rag"
|
|
author = "LangChain"
|
|
integrations = ["OpenAI", "Chroma"]
|
|
tags = ["vectordbs"]
|
|
|
|
[build-system]
|
|
requires = [
|
|
"poetry-core",
|
|
]
|
|
build-backend = "poetry.core.masonry.api"
|