langchain/templates/intel-rag-xeon/pyproject.toml
lvliang-intel 0175906437
templates: add RAG template for Intel Xeon Scalable Processors (#18424)
**Description:**
This template utilizes Chroma and TGI (Text Generation Inference) to
execute RAG on the Intel Xeon Scalable Processors. It serves as a
demonstration for users, illustrating the deployment of the RAG service
on the Intel Xeon Scalable Processors and showcasing the resulting
performance enhancements.

**Issue:**
None

**Dependencies:**
The template contains the poetry project requirements to run this
template.
CPU TGI batching is WIP.

**Twitter handle:**
None

---------

Signed-off-by: lvliang-intel <liang1.lv@intel.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-03-29 14:37:32 -07:00

51 lines
1.1 KiB
TOML

[tool.poetry]
name = "intel-rag-xeon"
version = "0.0.1"
description = "Run a RAG app on Intel Xeon Scalable Processors"
authors = [
"Liang Lv <liang1.lv@intel.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
langchain = "^0.1"
fastapi = "^0.104.0"
sse-starlette = "^1.6.5"
sentence-transformers = "2.2.2"
tiktoken = ">=0.5.1"
chromadb = ">=0.4.14"
beautifulsoup4 = ">=4.12.2"
[tool.poetry.dependencies.unstructured]
version = "^0.10.27"
extras = [
"pdf",
]
[tool.poetry.group.dev.dependencies]
poethepoet = "^0.24.1"
langchain-cli = ">=0.0.21"
[tool.langserve]
export_module = "intel_rag_xeon.chain"
export_attr = "chain"
[tool.templates-hub]
use-case = "rag"
author = "Intel"
integrations = ["Intel", "HuggingFace"]
tags = ["vectordbs"]
[tool.poe.tasks.start]
cmd = "uvicorn langchain_cli.dev_scripts:create_demo_server --reload --port $port --host $host"
args = [
{ name = "port", help = "port to run on", default = "8000" },
{ name = "host", help = "host to run on", default = "127.0.0.1" },
]
[build-system]
requires = [
"poetry-core",
]
build-backend = "poetry.core.masonry.api"