Vertex AI Search
Enables document search using Vertex AI and Gemini with grounding to improve result quality using private data.
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This MCP server facilitates searching documents using Vertex AI, leveraging Gemini with Vertex AI grounding for enhanced result quality. By grounding Gemini's responses in your private data stored within Vertex AI Datastore, the solution ensures more accurate and relevant search results. It supports the integration of multiple Vertex AI data stores, allowing you to consolidate your information sources for comprehensive search capabilities.
Características Principales
- Uses Gemini with Vertex AI grounding
- Supports Server-Sent Events (SSE) and standard input/output (stdio) transports
- Includes a command-line interface for testing Vertex AI search
- Integrates with one or more Vertex AI data stores
- Configurable via YAML file
Casos de Uso
- Building a knowledge base search application using Vertex AI's capabilities
- Searching internal company documents stored in Vertex AI
- Integrating Vertex AI search into existing MCP workflows
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