encoding_model: cl100k_base
skip_workflows: []
llm:
api_key: ${GRAPHRAG_CHAT_API_KEY}
type: openai_chat # or azure_openai_chat
model: ${GRAPHRAG_CHAT_MODEL}
model_supports_json: true # recommended if this is available for your model.
max_tokens: 2000
# request_timeout: 180.0
# api_base: https://<instance>.openai.azure.com
api_base: ${GRAPHRAG_API_BASE}
# 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
# temperature: 0 # temperature for sampling
# top_p: 1 # top-p sampling
# n: 1 # Number of completions to generate
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: ${GRAPHRAG_EMBEDDING_API_KEY}
type: openai_embedding # or azure_openai_embedding
model: ${GRAPHRAG_EMBEDDING_MODEL}
# api_base: https://<instance>.openai.azure.com
api_base: ${GRAPHRAG_API_BASE}
# 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: 1200
overlap: 100
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"
base_dir: ${GRAPHRAG_INPUT_DIR}
file_encoding: utf-8
file_pattern: ".*\\.txt$"
cache:
type: file # or blob
# base_dir: "cache"
base_dir: ${GRAPHRAG_CACHE_DIR}
# connection_string: <azure_blob_storage_connection_string>
# container_name: <azure_blob_storage_container_name>
storage:
type: file # or blob
# base_dir: "output/${timestamp}/artifacts"
# base_dir: "inputs/artifacts"
base_dir: ${GRAPHRAG_STORAGE_DIR}
# connection_string: <azure_blob_storage_connection_string>
# container_name: <azure_blob_storage_container_name>
reporting:
type: file # or console, blob
# base_dir: "inputs/reports"
base_dir: ${GRAPHRAG_REPORTING_DIR}
# connection_string: <azure_blob_storage_connection_string>
# container_name: <azure_blob_storage_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_extraction.txt"
prompt: ${GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE}
entity_types: [organization,person,geo,event]
max_gleanings: 1
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: "prompts/summarize_descriptions.txt"
prompt: ${GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE}
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
# 开启协变量
enabled: true
# prompt: "prompts/claim_extraction.txt"
prompt: ${GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE}
description: "Any claims or facts that could be relevant to information discovery."
max_gleanings: 1
community_reports:
## 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/community_report.txt"
prompt: ${GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE}
max_length: 2000
max_input_length: 8000
cluster_graph:
max_cluster_size: 10
embed_graph:
enabled: false # 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: false
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
# llm_temperature: 0 # temperature for sampling
# llm_top_p: 1 # top-p sampling
# llm_n: 1 # Number of completions to generate
# max_tokens: 12000
global_search:
# llm_temperature: 0 # temperature for sampling
# llm_top_p: 1 # top-p sampling
# llm_n: 1 # Number of completions to generate
# max_tokens: 12000
# data_max_tokens: 12000
# map_max_tokens: 1000
# reduce_max_tokens: 2000
# concurrency: 32
Do you need to file an issue?
Describe the issue
Errors
❌ create_base_entity_graph None
⠙ GraphRAG Indexer ├── Loading Input (InputFileType.text) - 1 files loaded (0 filtered) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 0:00:00 ├── create_base_text_units ├── create_base_extracted_entities ├── create_final_covariates ├── create_summarized_entities ├── join_text_units_to_covariate_ids └── create_base_entity_graph ❌ Errors occurred during the pipeline run, see logs for more details.
Steps to reproduce
logs
{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n File
GraphRAG Config Used
Logs and screenshots
No response
Additional Information