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fix demo

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This commit is contained in:
zrguo
2025-03-03 18:33:42 +08:00
parent 887388c317
commit 1611400854
41 changed files with 1390 additions and 1301 deletions
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53
examples/test_chromadb.py
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@@ -4,6 +4,7 @@ from lightrag import LightRAG, QueryParam
from lightrag.llm.openai import gpt_4o_mini_complete, openai_embed
from lightrag.utils import EmbeddingFunc
import numpy as np
from lightrag.kg.shared_storage import initialize_pipeline_status
#########
# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert()
@@ -67,7 +68,7 @@ async def create_embedding_function_instance():
async def initialize_rag():
embedding_func_instance = await create_embedding_function_instance()
if CHROMADB_USE_LOCAL_PERSISTENT:
return LightRAG(
rag = LightRAG(
working_dir=WORKING_DIR,
llm_model_func=gpt_4o_mini_complete,
embedding_func=embedding_func_instance,
@@ -87,7 +88,7 @@ async def initialize_rag():
},
)
else:
return LightRAG(
rag = LightRAG(
working_dir=WORKING_DIR,
llm_model_func=gpt_4o_mini_complete,
embedding_func=embedding_func_instance,
@@ -112,28 +113,36 @@ async def initialize_rag():
)
# Run the initialization
rag = asyncio.run(initialize_rag())
await rag.initialize_storages()
await initialize_pipeline_status()
# with open("./dickens/book.txt", "r", encoding="utf-8") as f:
# rag.insert(f.read())
return rag
# Perform naive search
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
)
# Initialize RAG instance
rag = asyncio.run(initialize_rag())
# Perform local search
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))
)
with open("./book.txt", "r", encoding="utf-8") as f:
rag.insert(f.read())
# Perform global search
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))
)
# Perform naive search
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
)
# Perform hybrid search
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
)
# 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"))
)
if __name__ == "__main__":
main()