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Allow user to provide customized collection_name #2130

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9 changes: 7 additions & 2 deletions graphrag/index/operations/embed_text/embed_text.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ async def embed_text(
vector_store_config = strategy.get("vector_store")

if vector_store_config:
index_name = _get_index_name(vector_store_config, embedding_name)
index_name = get_index_name(vector_store_config, embedding_name)
vector_store: BaseVectorStore = _create_vector_store(
vector_store_config, index_name, embedding_name
)
Expand Down Expand Up @@ -217,7 +217,12 @@ def _create_vector_store(
return vector_store


def _get_index_name(vector_store_config: dict, embedding_name: str) -> str:
def get_index_name(vector_store_config: dict, embedding_name: str) -> str:
collection_name = vector_store_config.get("collection_name")
if collection_name:
msg = f"using vector store {vector_store_config.get('type')} with user provided collection_name {collection_name} for embedding {embedding_name}"
logger.info(msg)
return collection_name
container_name = vector_store_config.get("container_name", "default")
index_name = create_index_name(container_name, embedding_name)

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7 changes: 2 additions & 5 deletions graphrag/utils/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@

from graphrag.cache.factory import CacheFactory
from graphrag.cache.pipeline_cache import PipelineCache
from graphrag.config.embeddings import create_index_name
from graphrag.index.operations.embed_text.embed_text import get_index_name
from graphrag.config.models.cache_config import CacheConfig
from graphrag.config.models.storage_config import StorageConfig
from graphrag.config.models.vector_store_schema_config import VectorStoreSchemaConfig
Expand Down Expand Up @@ -104,10 +104,7 @@ def get_embedding_store(
index_names = []
for index, store in config_args.items():
vector_store_type = store["type"]
index_name = create_index_name(
store.get("container_name", "default"), embedding_name
)

index_name = get_index_name(store, embedding_name)
embeddings_schema: dict[str, VectorStoreSchemaConfig] = store.get(
"embeddings_schema", {}
)
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