night666e commented 3 months ago

Is there an existing issue for this?

[X] I have searched the existing issues
[X] I have checked #657 to validate if my issue is covered by community support

Describe the issue

我基础认为是中英文的原因尝试后都无果仍然报错，我利用的模型是xinference的模型，glm与bge模型，目前只能利用原本的提示词才可以跑通文本，更换提示词后就会出现毛病

Steps to reproduce

我先修改了entity_extraction.txt文件然后对进行了graphrag.index的索引

GraphRAG Config Used

encoding_model: cl100k_base skip_workflows: [] llm: api_key: Xinference type: openai_chat # or azure_openai_chat model: glm4-chat-HhEBQi0N model_supports_json: true # recommended if this is available for your model.

max_tokens: 4000

request_timeout: 180.0

api_base: http://127.0.0.1:9997/v1

api_version: 2024-02-15-preview

organization:

deployment_name:

tokens_per_minute: 150_000 # set a leaky bucket throttle

requests_per_minute: 10_000 # set a leaky bucket throttle

max_retries: 10

max_retry_wait: 10.0

sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times

concurrent_requests: 25 # the number of parallel inflight requests that may be made

parallelization: stagger: 0.3

num_threads: 50 # the number of threads to use for parallel processing

async_mode: threaded # or asyncio

embeddings:

parallelization: override the global parallelization settings for embeddings

async_mode: threaded # or asyncio llm: api_key: Xinference type: openai_embedding # or azure_openai_embedding model: bge-base-zh api_base: http://127.0.0.1:9997/v1

api_version: 2024-02-15-preview

# organization: <organization_id>
# deployment_name: <azure_model_deployment_name>
# tokens_per_minute: 150_000 # set a leaky bucket throttle
# requests_per_minute: 10_000 # set a leaky bucket throttle
# max_retries: 10
# max_retry_wait: 10.0
# sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
# concurrent_requests: 25 # the number of parallel inflight requests that may be made
# batch_size: 16 # the number of documents to send in a single request
# batch_max_tokens: 8191 # the maximum number of tokens to send in a single request
# target: required # or optional

chunks: size: 1000 overlap: 300 group_by_columns: [id] # by default, we don't allow chunks to cross documents

input: type: file # or blob file_type: text # or csv base_dir: "input" file_encoding: utf-8 file_pattern: ".*\.txt$"

cache: type: file # or blob base_dir: "cache_et"

connection_string:

container_name:

storage: type: file # or blob base_dir: "output/${timestamp}/artifacts"

connection_string:

container_name:

reporting: type: file # or console, blob base_dir: "output/${timestamp}/reports"

connection_string:

container_name:

entity_extraction:

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

prompt: "prompts/entity_en.txt" entity_types: [organization,person,geo,event] max_gleanings: 0

summarize_descriptions:

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

prompt: "prompt/summarize_descriptions.txt" max_length: 500

claim_extraction:

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

enabled: true

prompt: "prompt/claim_extraction.txt" description: "任何可能与信息发现相关的声明或事实。" max_gleanings: 0

community_report:

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

prompt: "prompt/community_report.txt" max_length: 2000 max_input_length: 8000

cluster_graph: max_cluster_size: 10

embed_graph: enabled: true # if true, will generate node2vec embeddings for nodes

num_walks: 10

walk_length: 40

window_size: 2

iterations: 3

random_seed: 597832

umap: enabled: false # if true, will generate UMAP embeddings for nodes

snapshots: graphml: true raw_entities: false top_level_nodes: false

local_search:

text_unit_prop: 0.5

community_prop: 0.1

conversation_history_max_turns: 5

top_k_mapped_entities: 10

top_k_relationships: 10

max_tokens: 12000

global_search:

max_tokens: 12000

data_max_tokens: 12000

map_max_tokens: 1000

reduce_max_tokens: 2000

concurrency: 32

Logs and screenshots

日志：{"type": "error", "data": "Error executing verb \"cluster_graph\" in create_base_entity_graph: Columns must be same length as key", "stack": "Traceback (most recent call last):\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/datashaper/workflow/workflow.py\", line 410, in _execute_verb\n result = node.verb.func(verb_args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/graph/clustering/cluster_graph.py\", line 102, in cluster_graph\n output_df[[level_to, to]] = pd.DataFrame(\n ~~~~~^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/frame.py\", line 4299, in setitem\n self._setitem_array(key, value)\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/frame.py\", line 4341, in _setitem_array\n check_key_length(self.columns, key, value)\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/indexers/utils.py\", line 390, in check_key_length\n raise ValueError(\"Columns must be same length as key\")\nValueError: Columns must be same length as key\n", "source": "Columns must be same length as key", "details": null} {"type": "error", "data": "Error running pipeline!", "stack": "Traceback (most recent call last):\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/graphrag/index/run.py\", line 323, in run_pipeline\n result = await workflow.run(context, callbacks)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/datashaper/workflow/workflow.py\", line 369, in run\n timing = await self._execute_verb(node, context, callbacks)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/datashaper/workflow/workflow.py\", line 410, in _execute_verb\n result = node.verb.func(verb_args)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/graphrag/index/verbs/graph/clustering/cluster_graph.py\", line 102, in cluster_graph\n output_df[[level_to, to]] = pd.DataFrame(\n ~~~~~^^^^^^^^^^^^^^^^\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/frame.py\", line 4299, in setitem\n self._setitem_array(key, value)\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/frame.py\", line 4341, in _setitem_array\n check_key_length(self.columns, key, value)\n File \"/home/dell/anaconda3/envs/graphrag/lib/python3.11/site-packages/pandas/core/indexers/utils.py\", line 390, in check_key_length\n raise ValueError(\"Columns must be same length as key\")\nValueError: Columns must be same length as key\n", "source": "Columns must be same length as key", "details": null}

Additional Information

GraphRAG Version:0.0.1
Operating System:
Python Version:3.11
Related Issues:

night666e commented 3 months ago

求助大佬

xiaoqiangxiaoqiang commented 3 months ago

这个graphrag 根本就不适用我也尝试的修改实体抽取啥的都有问题而现实中不可能是按graphrag 的标准提示词来输出的所以我感觉想法很好但是需要好好迭代才能使用根本不能使用在实战中

xiaoqiangxiaoqiang commented 3 months ago

这个graphrag 根本就不适用我也尝试的修改实体抽取啥的都有问题而现实中不可能是按graphrag 的标准提示词来输出的所以我感觉想法很好但是需要好好迭代才能使用根本不能使用在实战中

night666e commented 3 months ago

这个graphrag 根本就不适用我也尝试的修改实体抽取啥的都有问题而现实中不可能是按graphrag 的标准提示词来输出的所以我感觉想法很好但是需要好好迭代才能使用根本不能使用在实战中

适当约束一下，应该可以的吧

Ljango commented 3 months ago

有解决方案么

natoverse commented 3 months ago

We commonly see this failure due to incorrectly configured models, especially if running a non-OpenAI model that doesn't map correctly. Routing to #657 for community support.

night666e commented 2 months ago

我们通常会看到由于模型配置不正确而导致的失败，尤其是在运行未正确映射的非OpenAI模型时。路由到#657社区支持。

这次graphrag的更新，可以修改提示词吗

microsoft / graphrag

[Issue]: <title> 我做了提示词的更改，我修改了entity_extraction.txt文件中的三个示例prompt，运行索引后报错 #859

Is there an existing issue for this?

Describe the issue

Steps to reproduce

GraphRAG Config Used

max_tokens: 4000

request_timeout: 180.0

api_version: 2024-02-15-preview

organization:

deployment_name:

tokens_per_minute: 150_000 # set a leaky bucket throttle

requests_per_minute: 10_000 # set a leaky bucket throttle

max_retries: 10

max_retry_wait: 10.0

sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times

concurrent_requests: 25 # the number of parallel inflight requests that may be made

num_threads: 50 # the number of threads to use for parallel processing

parallelization: override the global parallelization settings for embeddings

api_version: 2024-02-15-preview

connection_string:

container_name:

connection_string:

container_name:

connection_string:

container_name:

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

enabled: true

llm: override the global llm settings for this task

parallelization: override the global parallelization settings for this task

async_mode: override the global async_mode settings for this task

num_walks: 10

walk_length: 40

window_size: 2

iterations: 3

random_seed: 597832

text_unit_prop: 0.5

community_prop: 0.1

conversation_history_max_turns: 5

top_k_mapped_entities: 10

top_k_relationships: 10

max_tokens: 12000

max_tokens: 12000

data_max_tokens: 12000

map_max_tokens: 1000

reduce_max_tokens: 2000

concurrency: 32

Logs and screenshots

Additional Information