Google Vertex AI
Google Vertex AI offers managed vector search capabilities as part of its AI platform, supporting hybrid and semantic search for text, image, and other embeddings.
About this tool
Google Vertex AI
Google Vertex AI is a fully-managed, unified AI development platform from Google Cloud for building, training, deploying, and managing machine learning and generative AI models at scale.
Features
- Managed Vector Search: Native support for vector search, including hybrid and semantic search for text, image, and other embeddings.
- Generative AI Models: Access to Gemini (multimodal), Imagen (image generation), Chirp (speech), Veo (video), and a wide variety of third-party and open-source models (e.g., Claude, Llama, Gemma) via Model Garden.
- Vertex AI Studio: Tool for prototyping, testing, and tuning generative AI models, with prompt design, evaluation, and rapid deployment.
- Custom Model Training: Train, test, and tune ML models using custom code, preferred ML frameworks, and advanced hyperparameter tuning.
- MLOps Tools: Integrated tools for automating, standardizing, and managing the ML lifecycle, including pipelines, feature store, model registry, and monitoring for skew/drift.
- Agent Builder: No-code and code-based tools for building and deploying generative AI agents grounded in your data.
- Notebook Integration: Vertex AI Notebooks (Colab Enterprise, Workbench) natively integrated with BigQuery and other Google Cloud services.
- Model Deployment: Support for batch or online predictions, prebuilt containers, and custom prediction routines.
- API Access: SDKs and APIs available for Python, Java, JavaScript, Go, and Curl.
- Data Handling: Support for image, video, text, tabular, and multimodal data for training and prediction.
- Scalability: Built on Google Cloud infrastructure for high availability, scalability, and security.
- Modular and Open: Open integration with OSS ML frameworks and other Google Cloud products.
Pricing
- Pay-as-you-go: Pricing is based on tools, storage, compute, and cloud resources used.
- Free Credits: New customers receive $300 in free credits to try Vertex AI and other Google Cloud products.
- Generative AI Models:
- Imagen (image generation): Starting at $0.0001 per use
- Text, chat, and code generation: Starting at $0.0001 per 1,000 characters
- AutoML Models:
- Image data training: Starting at $1.375 per node hour
- Video data training: Starting at $0.462 per node hour
- Tabular data training: Contact sales
- Text data training: Starting at $0.05 per hour
- Custom Models:
- Custom model training: Price varies by machine type, region, and accelerators (contact sales)
- Vertex AI Notebooks:
- Compute and storage charged per Google Compute Engine and Cloud Storage rates
- Management Fees: Apply based on usage (refer to Google Cloud pricing for details)
- Vertex AI Pipelines: Starting at $0.03 per pipeline run
- Vertex AI Vector Search: Serving and building costs depend on data size, queries per second (QPS), and nodes (refer to pricing example).
For full details and a pricing calculator, see Vertex AI Pricing.
Categories
- Vector Database Engines
Tags
managed-service, vector-search, hybrid-search, semantic-search, cloud-native
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