gardel/lightrag
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

fix event loop conflict

Browse Source
This commit is contained in:
Ken Wiltshire
2024-11-06 11:18:14 -05:00
parent 8420cd1c77
commit 3d5d083f42
9 changed files with 185 additions and 152 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
test_neo4j.py
View File

@@ -5,8 +5,8 @@ from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete
#########
# Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert()
# import nest_asyncio
# nest_asyncio.apply()
# import nest_asyncio
# nest_asyncio.apply()
#########
WORKING_DIR = "./local_neo4jWorkDir"
@@ -18,7 +18,7 @@ rag = LightRAG(
working_dir=WORKING_DIR,
llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model
kg="Neo4JStorage",
log_level="INFO"
log_level="INFO",
# llm_model_func=gpt_4o_complete # Optionally, use a stronger model
)
@@ -26,13 +26,21 @@ with open("./book.txt") as f:
rag.insert(f.read())
# Perform naive search
print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")))
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")))
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")))
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")))
print(
rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
)