Open CinderZhang opened 10 hours ago
Same problem, already in latest version on linux, using run_linux.sh to install , still facing Graphrag part not working issue
I try modifying the run_linux.sh part like below: `
if pip list 2>/dev/null | grep -q "kotaemon"; then
**python -m pip install graphrag future** // new line
echo "Requirements are already installed"
else
..........
` now gets error: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. gradio 4.39.0 requires aiofiles<24.0,>=22.0, but you have aiofiles 24.1.0 which is incompatible. kotaemon 0.7.0 requires tenacity<8.3,>=8.2.3, but you have tenacity 9.0.0 which is incompatible. langchain 0.2.15 requires tenacity!=8.4.0,<9.0.0,>=8.1.0, but you have tenacity 9.0.0 which is incompatible. langchain-community 0.2.11 requires tenacity!=8.4.0,<9.0.0,>=8.1.0, but you have tenacity 9.0.0 which is incompatible. langchain-core 0.2.41 requires tenacity!=8.4.0,<9.0.0,>=8.1.0, but you have tenacity 9.0.0 which is incompatible. llama-index-core 0.10.68.post1 requires tenacity!=8.4.0,<9.0.0,>=8.2.0, but you have tenacity 9.0.0 which is incompatible. llama-index-legacy 0.9.48.post3 requires tenacity<9.0.0,>=8.2.0, but you have tenacity 9.0.0 which is incompatible.
So it seems to be an env error, I have not yet seen into the pip list, which may find something
Did you set the GraphRAG API key correctly as mentioned in https://github.com/Cinnamon/kotaemon#setup-graphrag?
I got same error even though I have set the GraphRAG API key in the .env
file.
Description
Setting up quick upload event Running on local URL: http://127.0.0.1:7860
To create a public link, set', model_name='rerank-multilingual-v2.0')], retrieval_mode='hybrid', top_k=10, userid=1), GraphRAGRetrieverPipeline(DS=<theflow.base.unset object at 0x00000273FB1E1F60>, FSPath=<theflow.base.unset object at 0x00000273FB1E1F60>, Index=<class 'ktem.index.file.index.IndexTable'>, Source=<theflow.base.unset object at 0x00000273FB1E1F60>, VS=<theflow.base.unset_ object at 0x00000273FB1E1F60>, file_ids=['e6ae8d9e-2419-47bd-b6e2-3607d7f5ced2'], userid=<theflow.base.unset object at 0x00000273FB1E1F60>)]
searching in doc_ids []
Traceback (most recent call last):
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\queueing.py", line 575, in process_events
response = await route_utils.call_process_api(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
output = await app.get_blocks().process_api(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\blocks.py", line 1923, in process_api
result = await self.call_function(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\blocks.py", line 1520, in call_function
prediction = await utils.async_iteration(iterator)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\utils.py", line 663, in async_iteration
return await iterator.anext()
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\utils.py", line 656, in anext
return await anyio.to_thread.run_sync(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\anyio_backends_asyncio.py", line 2441, in run_sync_in_worker_thread
return await future
File "R:\kotaemon-app\install_dir\env\lib\site-packages\anyio_backends_asyncio.py", line 943, in run
result = context.run(func, args)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\utils.py", line 639, in run_sync_iterator_async
return next(iterator)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\gradio\utils.py", line 801, in gen_wrapper
response = next(iterator)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\ktem\pages\chat__init.py", line 899, in chat_fn
for response in pipeline.stream(chat_input, conversation_id, chat_history):
File "R:\kotaemon-app\install_dir\env\lib\site-packages\ktem\reasoning\simple.py", line 705, in stream
docs, infos = self.retrieve(message, history)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\ktem\reasoning\simple.py", line 503, in retrieve
retriever_docs = retriever_node(text=query)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\base.py", line 1097, in call
raise e from None
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\base.py", line 1088, in call__
output = self.fl.exec(func, args, kwargs)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\backends\base.py", line 151, in exec
return run(args, kwargs)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\middleware.py", line 144, in call
raise e from None
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\middleware.py", line 141, in call
_output = self.next_call(*args, *kwargs)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\middleware.py", line 117, in call
return self.next_call(args, kwargs)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\theflow\base.py", line 1017, in _runx
return self.run(*args, **kwargs)
File "R:\kotaemon-app\install_dir\env\lib\site-packages\ktem\index\file\graph\pipelines.py", line 345, in run
context_builder = self._build_graph_search()
File "R:\kotaemon-app\install_dir\env\lib\site-packages\ktem\index\file\graph\pipelines.py", line 204, in _build_graph_search
entity_df = pd.read_parquet(f"{INPUT_DIR}/{ENTITY_TABLE}.parquet")
File "R:\kotaemon-app\install_dir\env\lib\site-packages\pandas\io\parquet.py", line 667, in read_parquet
return impl.read(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\pandas\io\parquet.py", line 267, in read
path_or_handle, handles, filesystem = _get_path_or_handle(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\pandas\io\parquet.py", line 140, in _get_path_or_handle
handles = get_handle(
File "R:\kotaemon-app\install_dir\env\lib\site-packages\pandas\io\common.py", line 882, in get_handle
handle = open(handle, ioargs.mode)
FileNotFoundError: [Errno 2] No such file or directory: 'R:\kotaemon-app\ktem_app_data\user_data\files\graphrag\a8af56b7-550c-4f92-ba60-fcf2163838b7\output/create_final_nodes.parquet'
User-id: 1, can see public conversations: True
share=True
inlaunch()
. User-id: None, can see public conversations: False User-id: 1, can see public conversations: True User-id: 1, can see public conversations: True Session reasoning type None Session LLM None Reasoning class <class 'ktem.reasoning.simple.FullQAPipeline'> Reasoning state {'app': {'regen': False}, 'pipeline': {}} Thinking ... Retrievers [DocumentRetrievalPipeline(DS=<kotaemon.storages.docstores.lancedb.LanceDBDocumentStore object at 0x00000273B5140CA0>, FSPath=WindowsPath('R:/kotaemon-app/ktem_app_data/user_data/files/index_1'), Index=<class 'ktem.index.file.index.IndexTable'>, Source=<class 'ktem.index.file.index.Source'>, VS=<kotaemon.storages.vectorstores.chroma.ChromaVectorStore object at 0x00000273B5140F40>, get_extra_table=False, llm_scorer=LLMTrulensScoring(concurrent=True, normalize=10, prompt_template=<kotaemon.llms.prompts.template.PromptTemplate object at 0x00000273B734EB60>, system_prompt_template=<kotaemon.llms.prompts.template.PromptTemplate object at 0x00000273B734EF20>, top_k=3, user_prompt_template=<kotaemon.llms.prompts.template.PromptTemplate object at 0x00000273B734D420>), mmr=False, rerankers=[CohereReranking(cohere_api_key='Reproduction steps
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OS
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Additional information
I installed it with "....bat" on Windows system.