Overview
[AI Summary]: Google has released a File Search Tool in the Gemini API that provides a fully managed RAG (Retrieval-Augmented Generation) system, allowing developers to easily connect Gemini with their own documents. The tool handles the complex RAG pipeline automatically (file storage, chunking, embedding, context injection) with free query-time costs - users only pay initial file indexing fees ($0.15 per million tokens). This essentially enables users to create their own customizable NotebookLM instances for intelligent document search and analysis.
- Developer: Google
- Platform: Gemini API
- License: Not specified (Proprietary API)
- Pricing: Free query costs, $0.15 per million tokens for initial indexing
- Language: Korean, English
Korean Source Commentary by Baro (KADH):
바로: 말 그대로 내 손 안에서 자유롭게 운용 가능한 NotebookLM을 만들 수 있음. 물론 대가로 나의 소중한 데이터가 (아마도…) 구글에게 감. -0-!
(Translation: “Literally, you can create a freely operational NotebookLM in your hands. Of course, in return, your precious data (probably…) goes to Google. -0-!”)