LightRAG/examples/unofficial-sample/lightrag_bedrock_demo.py
clssck 69358d830d test(lightrag,examples,api): comprehensive ruff formatting and type hints
Format entire codebase with ruff and add type hints across all modules:
- Apply ruff formatting to all Python files (121 files, 17K insertions)
- Add type hints to function signatures throughout lightrag core and API
- Update test suite with improved type annotations and docstrings
- Add pyrightconfig.json for static type checking configuration
- Create prompt_optimized.py and test_extraction_prompt_ab.py test files
- Update ruff.toml and .gitignore for improved linting configuration
- Standardize code style across examples, reproduce scripts, and utilities
2025-12-05 15:17:06 +01:00

50 lines
1.2 KiB
Python

"""
LightRAG meets Amazon Bedrock ⛰️
"""
import asyncio
import logging
import os
import nest_asyncio
from lightrag import LightRAG, QueryParam
from lightrag.llm.bedrock import bedrock_complete, bedrock_embed
from lightrag.utils import EmbeddingFunc
nest_asyncio.apply()
logging.getLogger('aiobotocore').setLevel(logging.WARNING)
WORKING_DIR = './dickens'
if not os.path.exists(WORKING_DIR):
os.mkdir(WORKING_DIR)
async def initialize_rag():
rag = LightRAG(
working_dir=WORKING_DIR,
llm_model_func=bedrock_complete,
llm_model_name='Anthropic Claude 3 Haiku // Amazon Bedrock',
embedding_func=EmbeddingFunc(embedding_dim=1024, max_token_size=8192, func=bedrock_embed),
)
await rag.initialize_storages() # Auto-initializes pipeline_status
return rag
def main():
rag = asyncio.run(initialize_rag())
with open('./book.txt', encoding='utf-8') as f:
rag.insert(f.read())
for mode in ['naive', 'local', 'global', 'hybrid']:
print('\n+-' + '-' * len(mode) + '-+')
print(f'| {mode.capitalize()} |')
print('+-' + '-' * len(mode) + '-+\n')
print(rag.query('What are the top themes in this story?', param=QueryParam(mode=mode)))
if __name__ == '__main__':
main()