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Vertex AI

To use Google Cloud’s Vertex AI for text embedding models, set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to the path of your service account’s credentials JSON file. These credentials can be created in the Google Cloud Console.

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Usage

import os
from mem0 import Memory

# Set the path to your Google Cloud credentials JSON file
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/path/to/your/credentials.json"
os.environ["OPENAI_API_KEY"] = "your_api_key" # For LLM

config = {
    "embedder": {
        "provider": "vertexai",
        "config": {
            "model": "text-embedding-004"
        }
    }
}

m = Memory.from_config(config)
m.add("I'm visiting Paris", user_id="john")

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Config

Here are the parameters available for configuring the Vertex AI embedder:

ParameterDescriptionDefault Value
modelThe name of the Vertex AI embedding model to usetext-embedding-004
vertex_credentials_jsonPath to the Google Cloud credentials JSON fileNone
embedding_dimsDimensions of the embedding model256
Hugging FaceGemini