Gemini File Search & RAG Integration FAQs

Question 1

How do I handle slow document indexing operations?

Accepted Answer

Since file uploads are processed asynchronously, you must implement a polling mechanism to check the operation status until it is marked as done, ensuring results are available before querying.

Question 2

Can I update an existing document in the index?

Accepted Answer

No, documents in Gemini File Search are immutable once indexed. To update a document, you must delete the existing version and re-upload the new version.

Question 3

Which models support Gemini File Search?

Accepted Answer

File Search is currently supported by Gemini 3 Pro and Gemini 3 Flash models. Earlier models like Gemini 1.5 or 2.x are not supported for this specific feature.

Question 4

What are the indexing costs for Gemini File Search?

Accepted Answer

Indexing is a one-time cost calculated at approximately $0.15 per 1 million input tokens. Storage and query-time embeddings are free within specific tier limits.

Question 5

How does the storage quota work for File Search?

Accepted Answer

Total storage usage is approximately three times the input file size because the system accounts for the original file, the generated embeddings, and associated metadata.

Gemini File Search & RAG Integration

Key Features

Use Cases

Gemini File Search & RAG Integration

Key Features

Use Cases