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Lehmberg, Timm
Hackaton
Commits
252735d1
Commit
252735d1
authored
10 months ago
by
Timm Lehmberg
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GraphRAG/fragate/settings.yaml
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252735d1
encoding_model
:
cl100k_base
skip_workflows
:
[]
llm
:
api_key
:
${GRAPHRAG_API_KEY}
type
:
openai_chat
# or azure_openai_chat
model
:
gpt-3.5-turbo
model_supports_json
:
true
# recommended if this is available for your model.
# max_tokens: 4000
# request_timeout: 180.0
# api_base: https://<instance>.openai.azure.com
# 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
# target: required # or all
llm
:
api_key
:
${GRAPHRAG_API_KEY}
type
:
openai_embedding
# or azure_openai_embedding
model
:
text-embedding-3-small
# api_base: https://<instance>.openai.azure.com
# api_version: 2024-02-15-preview
# organization: <organization_id>
# deployment_name: <azure_model_deployment_name>
# tokens_per_minute: 150_000 # set a leaky bucket throttle
# requests_per_minute: 10_000 # set a leaky bucket throttle
# max_retries: 10
# max_retry_wait: 10.0
# sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
# concurrent_requests: 25 # the number of parallel inflight requests that may be made
# batch_size: 16 # the number of documents to send in a single request
# batch_max_tokens: 8191 # the maximum number of tokens to send in a single request
chunks
:
size
:
2048
overlap
:
512
group_by_columns
:
[
id
]
# by default, we don't allow chunks to cross documents
input
:
type
:
file
# or blob
file_type
:
text
# or csv
base_dir
:
"
data"
file_encoding
:
utf-8
file_pattern
:
"
.*
\\
.txt$"
cache
:
type
:
file
# or blob
base_dir
:
"
cache"
# connection_string: <azure_blob_storage_connection_string>
# container_name: <azure_blob_storage_container_name>
storage
:
type
:
file
# or blob
base_dir
:
"
output/${timestamp}/artifacts"
# connection_string: <azure_blob_storage_connection_string>
# container_name: <azure_blob_storage_container_name>
reporting
:
type
:
file
# or console, blob
base_dir
:
"
output/${timestamp}/reports"
# 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"
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"
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
:
"
prompts/claim_extraction.txt"
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"
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
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