[Issue]: <title>' graphrag update command 'occurs error

[hope12122]

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Describe the issue

' graphrag update command 'occurs error, and 'the output parameter' could not be used, meanwhile it is unable to specify the input directory.
'graphrag update --root ./' command can execute successfully, but 'graphrag update --root ./ --output test_update_index' command executes failure

Steps to reproduce

' graphrag update command 'occurs error, and 'the output parameter' could not be used, meanwhile it is unable to specify the input directory.
'graphrag update --root ./' command can execute successfully, but 'graphrag update --root ./ --output test_update_index' command executes failure

GraphRAG Config Used

This config file contains required core defaults that must be set, along with a handful of common optional settings.

For a full list of available settings, see https://microsoft.github.io/graphrag/config/yaml/

LLM settings

There are a number of settings to tune the threading and token limits for LLM calls - check the docs.

encoding_model: cl100k_base # this needs to be matched to your model!

llm:
api_key: ${GRAPHRAG_API_KEY} # set this in the generated .env file
type: openai_chat # or azure_openai_chat
model: gpt-4o-mini
model_supports_json: true # recommended if this is available for your model.

audience: "https://cognitiveservices.azure.com/.default"

api_base: https://.openai.azure.com

api_version: 2024-02-15-preview

organization: <organization_id>

deployment_name: <azure_model_deployment_name>

parallelization:
stagger: 0.3

num_threads: 50

async_mode: threaded # or asyncio

embeddings:
async_mode: threaded # or asyncio
vector_store:
type: lancedb
db_uri: 'output/lancedb'
container_name: default
overwrite: true
llm:
api_key: ${GRAPHRAG_API_KEY}
type: openai_embedding # or azure_openai_embedding
model: text-embedding-3-small
# api_base: https://.openai.azure.com
# api_version: 2024-02-15-preview
# audience: "https://cognitiveservices.azure.com/.default"
# organization: <organization_id>
# deployment_name: <azure_model_deployment_name>

Input settings

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

chunks:
size: 1200
overlap: 100
group_by_columns: [id]

Storage settings

If blob storage is specified in the following four sections,

connection_string and container_name must be provided

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

reporting:
type: file # or console, blob
base_dir: "logs"

storage:
type: file # or blob
base_dir: "update_hali-11-20"

only turn this on if running graphrag index with custom settings

we normally use graphrag update with the defaults

update_index_storage:
#type: file # or blob
#base_dir: "update_output"

Workflow settings

skip_workflows: []

entity_extraction:
prompt: "prompts/entity_extraction.txt"
entity_types: [organization,person,geo,event]
max_gleanings: 1

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

claim_extraction:
enabled: false
prompt: "prompts/claim_extraction.txt"
description: "Any claims or facts that could be relevant to information discovery."
max_gleanings: 1

community_reports:
prompt: "prompts/community_report.txt"
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

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

snapshots:
graphml: false
embeddings: false
transient: false

Query settings

The prompt locations are required here, but each search method has a number of optional knobs that can be tuned.

See the config docs: https://microsoft.github.io/graphrag/config/yaml/#query

local_search:
prompt: "prompts/local_search_system_prompt.txt"

global_search:
map_prompt: "prompts/global_search_map_system_prompt.txt"
reduce_prompt: "prompts/global_search_reduce_system_prompt.txt"
knowledge_prompt: "prompts/global_search_knowledge_system_prompt.txt"

drift_search:
prompt: "prompts/drift_search_system_prompt.txt"

Logs and screenshots

Additional Information

• GraphRAG Version: 1.0.0
• Operating System: ubantu
• Python Version: 3.12
• Related Issues: