{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"Integrates Google's Gemini and Vertex AI embedding models with llama-index for generating text embeddings in your applications.","skillfed_tags":["embeddings","llama-index-integration","google-cloud"],"use_cases":["Building RAG pipelines with llama-index using Google's embedding models","Generating embeddings for semantic search over document collections via Gemini or Vertex AI","Integrating Google's embeddings into multi-step llama-index workflows without custom API glue code","Using Vertex AI embeddings in enterprise GCP environments with project-scoped authentication"],"what_it_does":"This package wraps Google's embedding APIs (Gemini and Vertex AI) for use within the llama-index framework. It lets you generate text embeddings using Google's models without writing the integration layer yourself. The package handles both direct GenAI API calls and Vertex AI deployments, accepting configuration like project ID and location for the latter.\n\nYou instantiate an embedding model by specifying the model name (e.g., \"gemini-embedding-2-preview\") and optional Vertex AI credentials, then call get_text_embedding() to convert text into vector form. It's designed as a drop-in embedding provider for llama-index workflows that need Google's embedding models.","worth_installing":"Yes, if you are already using llama-index and need Google's embedding models. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a straightforward choice. No if you don't use llama-index or prefer other embedding providers."},"id":"llama-index-embeddings-google-genai","links":{"html":"https://skillfed.io/packages/llama-index-embeddings-google-genai","md":"https://skillfed.io/packages/llama-index-embeddings-google-genai.md","pypi":"https://pypi.org/project/llama-index-embeddings-google-genai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-19","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-embeddings-google-genai","python_support":"supports_current","summary":"llama-index embeddings google genai integration"},"popularity":{"monthly_downloads":404945,"position":6909,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.1"}