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feat: add google vertexai embedding options #96

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feat: add google vertexai embedding options #96

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5 changes: 3 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ The following environment variables are required to run the application:
- `PDF_EXTRACT_IMAGES`: (Optional) A boolean value indicating whether to extract images from PDF files. Default value is "False".
- `DEBUG_RAG_API`: (Optional) Set to "True" to show more verbose logging output in the server console, and to enable postgresql database routes
- `CONSOLE_JSON`: (Optional) Set to "True" to log as json for Cloud Logging aggregations
- `EMBEDDINGS_PROVIDER`: (Optional) either "openai", "bedrock", "azure", "huggingface", "huggingfacetei" or "ollama", where "huggingface" uses sentence_transformers; defaults to "openai"
- `EMBEDDINGS_PROVIDER`: (Optional) either "openai", "bedrock", "azure", "huggingface", "huggingfacetei", "vertexai" or "ollama", where "huggingface" uses sentence_transformers; defaults to "openai"
- `EMBEDDINGS_MODEL`: (Optional) Set a valid embeddings model to use from the configured provider.
- **Defaults**
- openai: "text-embedding-3-small"
Expand All @@ -70,6 +70,7 @@ The following environment variables are required to run the application:
- huggingfacetei: "http://huggingfacetei:3000". Hugging Face TEI uses model defined on TEI service launch.
- ollama: "nomic-embed-text"
- bedrock: "amazon.titan-embed-text-v1"
- vertexai: "text-embedding-004"
- `RAG_AZURE_OPENAI_API_VERSION`: (Optional) Default is `2023-05-15`. The version of the Azure OpenAI API.
- `RAG_AZURE_OPENAI_API_KEY`: (Optional) The API key for Azure OpenAI service.
- Note: `AZURE_OPENAI_API_KEY` will work but `RAG_AZURE_OPENAI_API_KEY` will override it in order to not conflict with LibreChat setting.
Expand All @@ -83,7 +84,7 @@ The following environment variables are required to run the application:
- `AWS_DEFAULT_REGION`: (Optional) defaults to `us-east-1`
- `AWS_ACCESS_KEY_ID`: (Optional) needed for bedrock embeddings
- `AWS_SECRET_ACCESS_KEY`: (Optional) needed for bedrock embeddings

- `GOOGLE_APPLICATION_CREDENTIALS` : (Optional) need for google vertexai embeddings (GOOGLE_APPLICATION_CREDENTIALS=serviceAccount.json)
Make sure to set these environment variables before running the application. You can set them in a `.env` file or as system environment variables.

### Use Atlas MongoDB as Vector Database
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7 changes: 7 additions & 0 deletions config.py
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Expand Up @@ -24,6 +24,7 @@ class EmbeddingsProvider(Enum):
HUGGINGFACETEI = "huggingfacetei"
OLLAMA = "ollama"
BEDROCK = "bedrock"
VERTEXAI = "vertexai"


def get_env_variable(
Expand Down Expand Up @@ -206,6 +207,10 @@ def init_embeddings(provider, model):
from langchain_ollama import OllamaEmbeddings

return OllamaEmbeddings(model=model, base_url=OLLAMA_BASE_URL)
elif provider == EmbeddingsProvider.VERTEXAI:
from langchain_google_vertexai import VertexAIEmbeddings

return VertexAIEmbeddings(model_name=model)
elif provider == EmbeddingsProvider.BEDROCK:
from langchain_aws import BedrockEmbeddings

Expand Down Expand Up @@ -241,6 +246,8 @@ def init_embeddings(provider, model):
)
elif EMBEDDINGS_PROVIDER == EmbeddingsProvider.OLLAMA:
EMBEDDINGS_MODEL = get_env_variable("EMBEDDINGS_MODEL", "nomic-embed-text")
elif EMBEDDINGS_PROVIDER == EmbeddingsProvider.VERTEXAI:
EMBEDDINGS_MODEL = get_env_variable("EMBEDDINGS_MODEL", "text-embedding-004")
elif EMBEDDINGS_PROVIDER == EmbeddingsProvider.BEDROCK:
EMBEDDINGS_MODEL = get_env_variable(
"EMBEDDINGS_MODEL", "amazon.titan-embed-text-v1"
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1 change: 1 addition & 0 deletions requirements.lite.txt
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Expand Up @@ -29,4 +29,5 @@ python-magic==0.4.27
python-pptx==0.6.23
xlrd==2.0.1
langchain-aws==0.2.1
langchain-google-vertexai==2.0.5
boto3==1.34.144
1 change: 1 addition & 0 deletions requirements.txt
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Expand Up @@ -30,6 +30,7 @@ langchain-mongodb==0.2.0
langchain-ollama==0.2.0
langchain-openai==0.2.0
langchain-huggingface==0.1.0
langchain-google-vertexai==2.0.5
cryptography==43.0.1
python-magic==0.4.27
python-pptx==0.6.23
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