Google Gemini

Overview

Yes, the Gemini API offers a managed RAG solution called the File Search Tool for grounding models in private data without complex setup.

Key Features

A key feature is built-in citations via grounding_metadata.

Technical Specifications

A traditional RAG implementation requires separate vector databases, custom scripts, embedding models, and orchestration logic.

How It Works

The Gemini File Search Tool consolidates these functions into a single managed service.

Use Cases

For organizations with more advanced requirements, Google offers Vertex AI Search and the Vertex AI RAG Engine.

Limitations and Requirements

The tool primarily uses semantic search and lacks hybrid search capabilities.

Comparison to Alternatives

Summary

In conclusion, the Gemini API provides a direct and effective managed RAG solution.