40 lines
883 B
Python
40 lines
883 B
Python
import os
|
|
|
|
from lightrag import LightRAG, QueryParam
|
|
from lightrag.llm import gpt_4o_mini_complete
|
|
|
|
WORKING_DIR = "./dickens"
|
|
|
|
if not os.path.exists(WORKING_DIR):
|
|
os.mkdir(WORKING_DIR)
|
|
|
|
rag = LightRAG(
|
|
working_dir=WORKING_DIR,
|
|
llm_model_func=gpt_4o_mini_complete,
|
|
# llm_model_func=gpt_4o_complete
|
|
)
|
|
|
|
|
|
with open("./book.txt", "r", encoding="utf-8") as f:
|
|
rag.insert(f.read())
|
|
|
|
# Perform naive search
|
|
print(
|
|
rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
|
|
)
|
|
|
|
# Perform local search
|
|
print(
|
|
rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))
|
|
)
|
|
|
|
# Perform global search
|
|
print(
|
|
rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))
|
|
)
|
|
|
|
# Perform hybrid search
|
|
print(
|
|
rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
|
|
)
|