Monitor document uploads, index with Gemini File Search, answer questions via chat, and deliver spoken responses through Retell AI Voice.
This AI agent builds a complete enterprise RAG pipeline using Google Gemini File Search and Retell AI Voice. It automates store creation, document upload from Drive, indexing, and fast retrieval through chat. It provides both text and spoken answers in a zero-setup, auditable, production-ready package.
End-to-end capabilities from store creation to voice delivery.
Create a Gemini File Search store.
Auto-upload documents from Google Drive and index them.
Process user questions with chat-based retrieval.
Return concise, source-backed answers.
Deliver spoken responses via Retell AI Voice.
Log indexing and retrieval activity for auditing.
This setup replaces fragmented manual workflows with an automated, auditable pipeline.
A simple 3-step flow from data to answers.
Initialize a Gemini File Search store and configure end-to-end retrieval.
Watch Google Drive for new or updated documents, upload them, and index content automatically.
Accept questions via chat or voice; Gemini retrieves relevant data and Retell delivers the spoken answer.
A realistic end-to-end scenario.
Task: Ingest a 1,200-page policy document from Drive, index it in minutes, and answer a policy question via chat, followed by a spoken answer via Retell. Outcome: the user receives an accurate text response and an audible voice reply within seconds, with an auditable log of actions.
Roles that gain concrete value from this AI agent.
Centralizes internal docs and enables fast, auditable access.
Zero-Pinecone deployment and simplified production setup.
Deliver ready-to-run RAG templates for clients.
Provide instant, voice-enabled knowledge access for agents.
Maintain auditable indexing and governance.
Automate document onboarding and search workflows.
Core tools integrated into the AI agent workflow.
Create stores, index documents, and perform retrieval within the AI agent.
Auto-upload new documents to the Gemini store and trigger indexing.
Convert retrieval results to spoken responses for verbal interfaces.
Route user queries to Gemini and trigger Retell responses.
Optional store IDs and indexing status for auditing.
Enforce access controls, governance, and audit trails.
Common enterprise scenarios where this AI agent shines.
Practical questions about setup, security, and usage.
You need access to Google Gemini File Search, a Google Drive folder for document uploads, Retell AI for voice delivery, and an n8n instance to route queries. Optional Google Sheets can store store IDs for auditing. The setup typically takes about 25–30 minutes, depending on configuration and existing infrastructure. No Pinecone or external vector DB is required. You should also ensure IAM permissions are configured to allow Drive reads and API calls to Gemini and Retell.
No. This solution uses Google Gemini File Search for indexing and retrieval, eliminating the need for a separate vector database. It provides a production-ready flow with built-in indexing and search capabilities. You only configure your store and data sources, and the AI agent handles the rest. This reduces maintenance and integration complexity.
Typical setup time is around 25–30 minutes for a standard enterprise configuration. This includes connecting Drive, creating the Gemini store, and wiring the retrieval and voice endpoints. More complex data schemas or multi-source deployments may extend the timeline slightly. After setup, you can begin indexing and querying immediately.
Yes. The workflow monitors Google Drive for new or updated documents, uploads them, and triggers incremental indexing. Updated content becomes searchable without manual reconfiguration. This keeps your knowledge base current and reduces manual refresh steps.
Security follows your Google Cloud IAM policies. Access to each Gemini store can be restricted, and actions are auditable via logs stored in Sheets or your chosen auditing mechanism. Data residency and encryption are preserved by leveraging Google Cloud infrastructure. You can also segment access by role to minimize exposure.
Yes. The AI agent supports customizing prompts, response lengths, and the flow of chat and voice interactions. You can adjust tone, verbosity, and context retention to fit different client needs. Custom prompts can be applied to both text and voice outputs, enabling consistent experiences across channels. Changes can be deployed in minutes without rewriting core wiring.
The AI agent provides text answers via chat and spoken responses via Retell. You can store transcripts and logs for auditing in Sheets or your preferred storage. The system also exposes indexing status and retrieval results for monitoring. Output formats are designed for easy integration with existing enterprise front-ends.
Monitor document uploads, index with Gemini File Search, answer questions via chat, and deliver spoken responses through Retell AI Voice.
