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import logging
from injector import inject, singleton
from llama_index.core.embeddings import BaseEmbedding, MockEmbedding
from private_gpt.paths import models_cache_path
from private_gpt.settings.settings import Settings
logger = logging.getLogger(__name__)
@singleton
class EmbeddingComponent:
embedding_model: BaseEmbedding
@inject
def __init__(self, settings: Settings) -> None:
embedding_mode = settings.embedding.mode
logger.info("Initializing the embedding model in mode=%s", embedding_mode)
match embedding_mode:
case "huggingface":
try:
from llama_index.embeddings.huggingface import ( # type: ignore
HuggingFaceEmbedding,
)
except ImportError as e:
raise ImportError(
"Local dependencies not found, install with `poetry install --extras embeddings-huggingface`"
) from e
self.embedding_model = HuggingFaceEmbedding(
model_name=settings.huggingface.embedding_hf_model_name,
cache_folder=str(models_cache_path),
)
case "sagemaker":
try:
from private_gpt.components.embedding.custom.sagemaker import (
SagemakerEmbedding,
)
except ImportError as e:
raise ImportError(
"Sagemaker dependencies not found, install with `poetry install --extras embeddings-sagemaker`"
) from e
self.embedding_model = SagemakerEmbedding(
endpoint_name=settings.sagemaker.embedding_endpoint_name,
)
case "openai":
try:
from llama_index.embeddings.openai import ( # type: ignore
OpenAIEmbedding,
)
except ImportError as e:
raise ImportError(
"OpenAI dependencies not found, install with `poetry install --extras embeddings-openai`"
) from e
openai_settings = settings.openai.api_key
self.embedding_model = OpenAIEmbedding(api_key=openai_settings)
case "ollama":
try:
from llama_index.embeddings.ollama import ( # type: ignore
OllamaEmbedding,
)
except ImportError as e:
raise ImportError(
"Local dependencies not found, install with `poetry install --extras embeddings-ollama`"
) from e
ollama_settings = settings.ollama
self.embedding_model = OllamaEmbedding(
model_name=ollama_settings.embedding_model,
base_url=ollama_settings.embedding_api_base,
)
case "azopenai":
try:
from llama_index.embeddings.azure_openai import ( # type: ignore
AzureOpenAIEmbedding,
)
except ImportError as e:
raise ImportError(
"Azure OpenAI dependencies not found, install with `poetry install --extras embeddings-azopenai`"
) from e
azopenai_settings = settings.azopenai
self.embedding_model = AzureOpenAIEmbedding(
model=azopenai_settings.embedding_model,
deployment_name=azopenai_settings.embedding_deployment_name,
api_key=azopenai_settings.api_key,
azure_endpoint=azopenai_settings.azure_endpoint,
api_version=azopenai_settings.api_version,
)
case "mock":
# Not a random number, is the dimensionality used by
# the default embedding model
self.embedding_model = MockEmbedding(384)
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