{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Integrates Google Vertex AI embedding models into LlamaIndex applications, providing access to text and multimodal embedding APIs with flexible credential handling.","skillfed_tags":["embeddings","vertex-ai","rag"],"use_cases":["Build RAG pipelines in LlamaIndex using Vertex AI embeddings instead of third-party providers","Generate multilingual embeddings with textembedding-gecko-multilingual for cross-language search","Integrate multimodal embeddings for image and text understanding in LlamaIndex applications","Migrate existing LlamaIndex applications to use Google Cloud's managed embedding service"],"what_it_does":"This package bridges LlamaIndex and Google Vertex AI's embedding models, letting you generate text and multimodal embeddings within a LlamaIndex workflow. It wraps Vertex AI's embedding APIs\u2014including the textembedding-gecko family and multimodal models\u2014and exposes them through LlamaIndex's standard embedding interface, handling credential management and model selection transparently.\n\nYou supply GCP credentials and a model name, and the package handles the API calls to Vertex AI. It supports both direct credential objects and service account parameters for flexibility. The main constraint is that multimodal embedding doesn't support async operations, though text embeddings do.","worth_installing":"Yes, if you are already using LlamaIndex and have access to Google Cloud with Vertex AI enabled. The package is actively maintained, has no known vulnerabilities, low install friction, and provides straightforward integration. Skip it if you don't use LlamaIndex or lack GCP infrastructure."},"id":"llama-index-embeddings-vertex","links":{"html":"https://skillfed.io/packages/llama-index-embeddings-vertex","md":"https://skillfed.io/packages/llama-index-embeddings-vertex.md","pypi":"https://pypi.org/project/llama-index-embeddings-vertex/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-embeddings-vertex","python_support":"supports_current","summary":"llama-index embeddings vertex integration"},"popularity":{"monthly_downloads":81613,"position":14212,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.0"}