aieng-rag-utils
aieng-rag-utils is a Python library providing utility functions and tools to streamline Retrieval-Augmented Generation (RAG) workflows. It is designed to help AI engineers build, evaluate, and deploy RAG-based applications efficiently.
Features
- Document loaders, chunkers and pretty-print
- Web Search
- Vector store integrations
- Query and retrieval helpers
- Evaluation and benchmarking tools
Installation
pip3 install aieng-rag-utils
Sample Usage
from aieng.rag.utils import get_device_name
from aieng.rag.utils.search import DocumentReader
from aieng.rag.utils.pubmed import RAGLLM
device = get_device_name()
doc_reader = DocumentReader(directory_path="./source_documents")
docs, chunks = doc_reader.load()
llm = RAGLLM(
llm_type="openai",
llm_name="gpt-4o",
api_base=OPENAI_BASE_URL,
api_key=OPENAI_API_KEY,
).load_model(**rag_cfg) # RAG Configuration
1 maintainer
Metadata
1 maintainer
Release files for aieng-rag-utils 1.0.1
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Total release size: 17.7 kB
Release files / aieng_rag_utils-1.0.1.tar.gz
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