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skills/gemini-file-search-tool/SKILL.md
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---
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name: skill-gemini-file-search-tool
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description: Manage Gemini RAG stores with Code-RAG support
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---
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# When to use
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- Managing Gemini File Search stores and documents
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- Uploading documents for RAG queries (including codebases)
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- Querying stores with natural language
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- Building Code-RAG systems for semantic code search
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# Gemini File Search Tool Skill
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## Purpose
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Comprehensive guide for managing Google's fully managed RAG (Retrieval-Augmented Generation) system using the `gemini-file-search-tool` CLI. This tool eliminates the complexity of vector databases, embeddings, and retrieval infrastructure by providing a production-ready interface to Gemini File Search.
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## When to Use This Skill
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**Use this skill when:**
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- Creating and managing Gemini File Search stores
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- Uploading documents for semantic search and RAG queries
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- Building Code-RAG systems (semantic code search with natural language)
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- Querying document stores with natural language
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- Managing upload caches and operation status
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- Implementing document search in AI applications
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**Do NOT use this skill for:**
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- General document processing (use document-skills instead)
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- File system operations (use Read/Write tools)
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- Cloud infrastructure management (use AWS/GCP CLIs)
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## CLI Tool: gemini-file-search-tool
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Production-ready CLI and Python library for Google's Gemini File Search API, a fully managed RAG system that automatically handles document ingestion, chunking, embedding generation, and semantic retrieval with zero infrastructure overhead.
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### Installation
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```bash
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# Clone repository
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git clone https://github.com/dnvriend/gemini-file-search-tool.git
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cd gemini-file-search-tool
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# Install globally with uv
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uv tool install .
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# Verify installation
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gemini-file-search-tool --help
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```
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### Prerequisites
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**Authentication (Choose one):**
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**Option 1: Gemini Developer API (Recommended for development)**
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```bash
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export GEMINI_API_KEY="your-api-key-here"
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# Or
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export GOOGLE_API_KEY="your-api-key-here"
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```
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Get API key from: https://aistudio.google.com/apikey
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**Option 2: Vertex AI (For production)**
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```bash
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export GOOGLE_GENAI_USE_VERTEXAI=true
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export GOOGLE_CLOUD_PROJECT="your-project-id"
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export GOOGLE_CLOUD_LOCATION="us-central1"
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```
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### Quick Start
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```bash
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# Create a store
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gemini-file-search-tool create-store "my-docs"
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# Upload documents
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gemini-file-search-tool upload "*.pdf" --store "my-docs" -v
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# Query with natural language
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gemini-file-search-tool query "What is the main topic?" --store "my-docs" --show-cost
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```
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## Progressive Disclosure
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<details>
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<summary><strong>📖 Store Management Commands (Click to expand)</strong></summary>
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### create-store - Create New Store
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Create a new Gemini File Search store for document storage and RAG queries.
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**Usage:**
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```bash
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gemini-file-search-tool create-store "STORE_NAME" [--display-name NAME] [-v]
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```
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**Arguments:**
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- `STORE_NAME`: Store identifier (required, positional)
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- `--display-name NAME`: Human-readable display name (optional)
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- `-v`: Verbose logging
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**Examples:**
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```bash
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# Create store with auto-generated display name
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gemini-file-search-tool create-store "research-papers"
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# Create store with custom display name
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gemini-file-search-tool create-store "docs" --display-name "Project Documentation"
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# Capture output for processing
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gemini-file-search-tool create-store "code" | jq '.name'
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```
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**Output:**
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```json
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{
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"name": "fileSearchStores/abc123",
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"display_name": "research-papers",
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"create_time": "2025-11-20T10:30:00Z",
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"update_time": "2025-11-20T10:30:00Z"
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}
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```
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---
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### list-stores - List All Stores
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List all available Gemini File Search stores with their metadata.
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**Usage:**
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```bash
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gemini-file-search-tool list-stores [-v]
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```
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**Arguments:**
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- `-v`: Verbose logging
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**Examples:**
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```bash
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# List all stores
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gemini-file-search-tool list-stores
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# List with verbose logging
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gemini-file-search-tool list-stores -v
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# Filter stores with jq
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gemini-file-search-tool list-stores | jq '.[] | select(.display_name | contains("docs"))'
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# Count stores
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gemini-file-search-tool list-stores | jq 'length'
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```
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**Output:**
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```json
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[
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{
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"name": "fileSearchStores/abc123",
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"display_name": "research-papers",
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"create_time": "2025-11-20T10:30:00Z",
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"update_time": "2025-11-20T10:30:00Z"
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}
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]
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```
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---
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### get-store - Get Store Details
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Get detailed information about a specific store.
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**Usage:**
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```bash
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gemini-file-search-tool get-store "STORE_NAME" [-v]
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```
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**Arguments:**
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- `STORE_NAME`: Store name/ID (accepts display names, IDs, or full resource names)
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- `-v`: Verbose logging
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**Examples:**
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```bash
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# Get by display name
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gemini-file-search-tool get-store "research-papers"
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# Get by ID
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gemini-file-search-tool get-store "abc123"
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# Extract specific field
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gemini-file-search-tool get-store "docs" | jq '.create_time'
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```
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---
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### update-store - Update Store
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Update a store's display name or metadata.
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**Usage:**
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```bash
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gemini-file-search-tool update-store "STORE_NAME" --display-name "NEW_NAME" [-v]
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```
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**Examples:**
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```bash
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# Rename store
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gemini-file-search-tool update-store "docs" --display-name "Production Documentation"
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```
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---
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### delete-store - Delete Store
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Delete a Gemini File Search store and all its documents.
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**Usage:**
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```bash
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gemini-file-search-tool delete-store "STORE_NAME" [--force] [-v]
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```
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**Arguments:**
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- `STORE_NAME`: Store to delete (required)
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- `--force`: Skip confirmation prompt
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- `-v`: Verbose logging
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**Examples:**
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```bash
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# Delete with confirmation
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gemini-file-search-tool delete-store "old-docs"
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# Delete without confirmation
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gemini-file-search-tool delete-store "temp-store" --force
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```
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**Note:** Shows cache statistics before deletion and automatically removes cache file after successful deletion.
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</details>
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<details>
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<summary><strong>📁 Document Management Commands (Click to expand)</strong></summary>
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### upload - Upload Documents
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Upload files to a Gemini File Search store with intelligent caching, glob support, and parallel processing.
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**Usage:**
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```bash
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gemini-file-search-tool upload FILES... --store "STORE_NAME" [OPTIONS]
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```
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**Arguments:**
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- `FILES`: File paths or glob patterns (required, positional)
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- `--store NAME`: Target store name (required)
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- `--title TEXT`: Custom metadata title (optional)
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- `--url URL`: Custom metadata URL (optional)
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- `--max-tokens N`: Max tokens per chunk (default: 200)
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- `--max-overlap N`: Max overlap tokens (default: 20)
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- `--num-workers N`: Concurrent workers (default: CPU cores)
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- `--skip-validation`: Skip file validation checks
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- `--ignore-gitignore`: Ignore .gitignore patterns
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- `--dry-run`: Preview files without uploading
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- `--rebuild-cache`: Force re-upload all files
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- `--no-wait`: Async upload without polling
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- `-v/-vv/-vvv`: Verbosity (INFO/DEBUG/TRACE)
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**Key Features:**
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- **Intelligent Caching**: Automatically skips unchanged files using mtime-based optimization (O(1) check)
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- **Glob Patterns**: Supports `*.pdf`, `docs/**/*.md`, `src/**/*.py`
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- **Gitignore Support**: Respects `.gitignore` patterns by default
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- **Parallel Processing**: Concurrent uploads with configurable workers
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- **System File Filtering**: Auto-skips `__pycache__`, `.pyc`, `.DS_Store`
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- **Async Mode**: Fire-and-forget uploads with `--no-wait`
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**Examples:**
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```bash
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# Upload single file
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gemini-file-search-tool upload document.pdf --store "papers"
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# Upload multiple files
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gemini-file-search-tool upload doc1.pdf doc2.pdf --store "papers"
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# Upload with glob pattern
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gemini-file-search-tool upload "*.pdf" --store "papers" -v
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# Upload recursive with markdown files
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gemini-file-search-tool upload "docs/**/*.md" --store "documentation" -v
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# Upload codebase for Code-RAG
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gemini-file-search-tool upload "src/**/*.py" --store "my-codebase" -v
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# Async upload with 8 workers
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gemini-file-search-tool upload "*.pdf" --store "papers" --no-wait --num-workers 8
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# Dry-run to preview files
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gemini-file-search-tool upload "**/*.py" --store "code" --dry-run -v
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# Rebuild cache (force re-upload)
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gemini-file-search-tool upload "**/*.py" --store "code" --rebuild-cache
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```
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**Output:**
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```json
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[
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{"file": "doc1.pdf", "status": "completed", "document": {"name": "documents/123"}},
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{"file": "doc2.pdf", "status": "skipped", "reason": "Already exists"},
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{"file": "doc3.pdf", "status": "pending", "operation": "operations/456"}
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]
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```
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---
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### list-documents - List Documents in Store
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List all documents in a Gemini File Search store.
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**Usage:**
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```bash
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gemini-file-search-tool list-documents --store "STORE_NAME" [-v/-vv/-vvv]
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```
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**Arguments:**
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- `--store NAME`: Store name (required)
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- `-v/-vv/-vvv`: Verbosity levels
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**Examples:**
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```bash
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# List all documents
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gemini-file-search-tool list-documents --store "papers"
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# With verbose logging
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gemini-file-search-tool list-documents --store "papers" -vv
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# Count documents
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gemini-file-search-tool list-documents --store "papers" | jq 'length'
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```
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**Note:** Uses REST API workaround due to SDK bug #1661. Only works with Developer API (not Vertex AI).
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</details>
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<details>
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<summary><strong>🔍 Query Commands (Click to expand)</strong></summary>
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### query - Natural Language RAG Queries
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Query a Gemini File Search store with natural language using Retrieval-Augmented Generation.
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**Usage:**
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```bash
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gemini-file-search-tool query "PROMPT" --store "STORE_NAME" [OPTIONS]
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```
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**Arguments:**
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- `PROMPT`: Natural language query (required, positional)
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- `--store NAME`: Store to query (required)
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- `--query-model {flash|pro}`: Model for RAG query (default: flash)
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- `--query-grounding-metadata`: Include source citations in response
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- `--metadata-filter "key=value"`: Filter documents by metadata
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- `--show-cost`: Include token usage and cost estimation
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- `-v/-vv/-vvv`: Verbosity (INFO/DEBUG/TRACE)
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**Enhancement Options (Use Sparingly):**
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- `--enhance-mode {generic|code-rag|obsidian}`: Query optimization mode (disabled by default)
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- `--enhancement-model {flash|pro}`: Model for enhancement (default: flash)
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- `--show-enhancement`: Display enhanced query
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- `--dry-run-enhancement`: Preview enhancement without executing query
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**Examples:**
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```bash
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# Basic query
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gemini-file-search-tool query "What is DORA?" --store "papers"
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# Query with citations and cost tracking
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gemini-file-search-tool query "How does authentication work?" \
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--store "codebase" --query-grounding-metadata --show-cost -v
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# Query with Pro model
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gemini-file-search-tool query "Explain the architecture" \
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--store "docs" --query-model pro
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# Code-RAG query (semantic code search)
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gemini-file-search-tool query "Where is error handling implemented?" \
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--store "my-codebase" --query-grounding-metadata
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# With metadata filtering
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gemini-file-search-tool query "Python best practices" \
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--store "docs" --metadata-filter "language=python"
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```
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**Output:**
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```json
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{
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"response_text": "DORA stands for DevOps Research and Assessment...",
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"usage_metadata": {
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"prompt_token_count": 150,
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"candidates_token_count": 320,
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"total_token_count": 470
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},
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"grounding_metadata": {
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"grounding_chunks": [
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{
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"retrieved_context": {
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"title": "/path/to/doc.pdf",
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"text": "Relevant excerpt..."
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}
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}
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]
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},
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"estimated_cost": {
|
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"total_cost_usd": 0.00010725,
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"model": "gemini-2.5-flash"
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}
|
||||
}
|
||||
```
|
||||
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**Important Notes:**
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||||
- **Enhancement is disabled by default**: Benchmarks show simple queries work best for RAG
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- **Flash model recommended**: 12x more cost-efficient than Pro, adequate for RAG
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||||
- Only use `--enhance-mode` for vague or poorly worded queries
|
||||
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</details>
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||||
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||||
<details>
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||||
<summary><strong>💾 Cache Management Commands (Click to expand)</strong></summary>
|
||||
|
||||
### sync-cache - Sync Pending Operations
|
||||
|
||||
Synchronize pending upload operations and update cache with final status.
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
gemini-file-search-tool sync-cache --store "STORE_NAME" [OPTIONS]
|
||||
```
|
||||
|
||||
**Arguments:**
|
||||
- `--store NAME`: Store name (required)
|
||||
- `--num-workers N`: Parallel workers (default: 4)
|
||||
- `--text`: Human-readable output (default: JSON)
|
||||
- `-v`: Verbose logging
|
||||
|
||||
**Examples:**
|
||||
```bash
|
||||
# Sync with default workers
|
||||
gemini-file-search-tool sync-cache --store "papers"
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||||
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||||
# Sync with 8 parallel workers
|
||||
gemini-file-search-tool sync-cache --store "codebase" --num-workers 8 -v
|
||||
|
||||
# Human-readable output
|
||||
gemini-file-search-tool sync-cache --store "docs" --text
|
||||
```
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||||
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||||
**When to Use:**
|
||||
- After `upload --no-wait` operations
|
||||
- To check status of pending uploads
|
||||
- To update cache with final document IDs
|
||||
|
||||
---
|
||||
|
||||
### flush-cache - Clear Cache File
|
||||
|
||||
Delete the cache file for a specific store to start fresh.
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
gemini-file-search-tool flush-cache --store "STORE_NAME" [--force] [-v]
|
||||
```
|
||||
|
||||
**Arguments:**
|
||||
- `--store NAME`: Store name (required)
|
||||
- `--force`: Skip confirmation prompt
|
||||
- `-v`: Verbose logging
|
||||
|
||||
**Examples:**
|
||||
```bash
|
||||
# Flush with confirmation
|
||||
gemini-file-search-tool flush-cache --store "old-docs"
|
||||
|
||||
# Flush without confirmation
|
||||
gemini-file-search-tool flush-cache --store "temp" --force
|
||||
```
|
||||
|
||||
**When to Use:**
|
||||
- Before rebuilding cache
|
||||
- When cache is corrupted
|
||||
- For clean slate troubleshooting
|
||||
|
||||
---
|
||||
|
||||
### cache-report - Generate Cache Status Report
|
||||
|
||||
Show cache statistics and operation status.
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
gemini-file-search-tool cache-report --store "STORE_NAME" [FILTERS] [OPTIONS]
|
||||
```
|
||||
|
||||
**Arguments:**
|
||||
- `--store NAME`: Store name (required)
|
||||
- `--pending-only`: Show only pending operations
|
||||
- `--errors-only`: Show only failed operations
|
||||
- `--completed-only`: Show only completed operations
|
||||
- `--all`: Show all cached files
|
||||
- `--text`: Human-readable output (default: JSON)
|
||||
- `-v`: Verbose logging
|
||||
|
||||
**Examples:**
|
||||
```bash
|
||||
# Show summary + pending operations
|
||||
gemini-file-search-tool cache-report --store "papers"
|
||||
|
||||
# Show only failed operations
|
||||
gemini-file-search-tool cache-report --store "docs" --errors-only
|
||||
|
||||
# Show all cached files
|
||||
gemini-file-search-tool cache-report --store "code" --all --text
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><strong>💻 Code-RAG: Semantic Code Search (Click to expand)</strong></summary>
|
||||
|
||||
### What is Code-RAG?
|
||||
|
||||
Code-RAG (Retrieval-Augmented Generation for Code) enables uploading entire codebases and querying them with natural language. This is powerful for:
|
||||
|
||||
- **Codebase Onboarding**: New developers ask questions about architecture
|
||||
- **Code Discovery**: Find implementations without grepping
|
||||
- **Architecture Analysis**: Understand design patterns and structure
|
||||
- **Documentation Generation**: Generate contextual docs from code
|
||||
- **AI Coding Assistants**: Build agents that answer codebase questions
|
||||
|
||||
### Code-RAG Workflow
|
||||
|
||||
**Step 1: Upload Codebase**
|
||||
```bash
|
||||
# Upload all Python files
|
||||
gemini-file-search-tool upload "src/**/*.py" --store "my-project" -v
|
||||
|
||||
# Upload multiple languages
|
||||
gemini-file-search-tool upload "src/**/*.{py,js,go}" --store "polyglot-project" -v
|
||||
|
||||
# Upload with custom chunking
|
||||
gemini-file-search-tool upload "**/*.py" --store "large-project" \
|
||||
--max-tokens 500 --max-overlap 50 --num-workers 8
|
||||
```
|
||||
|
||||
**Step 2: Query with Natural Language**
|
||||
```bash
|
||||
# Architectural questions
|
||||
gemini-file-search-tool query "How does the authentication system work?" \
|
||||
--store "my-project" --query-grounding-metadata -v
|
||||
|
||||
# Implementation discovery
|
||||
gemini-file-search-tool query "Where is error handling for API calls implemented?" \
|
||||
--store "my-project" --show-cost
|
||||
|
||||
# Design pattern analysis
|
||||
gemini-file-search-tool query "What design patterns are used in this codebase?" \
|
||||
--store "my-project" --query-model pro
|
||||
```
|
||||
|
||||
**Step 3: Get Source References**
|
||||
```bash
|
||||
# Query with full citations
|
||||
gemini-file-search-tool query "Explain the database layer" \
|
||||
--store "my-project" --query-grounding-metadata | \
|
||||
jq '.grounding_metadata.grounding_chunks[].retrieved_context.title'
|
||||
```
|
||||
|
||||
### Code-RAG Best Practices
|
||||
|
||||
1. **Comprehensive Docstrings**: Well-documented code provides better semantic search results
|
||||
2. **Modular Structure**: Clear file/function organization improves retrieval accuracy
|
||||
3. **Use Flash Model**: Cost-effective and sufficient for code search
|
||||
4. **Enable Grounding**: Always use `--query-grounding-metadata` to verify sources
|
||||
5. **Gitignore Support**: Automatically skips `__pycache__`, build artifacts, etc.
|
||||
|
||||
### Meta Note
|
||||
|
||||
This tool itself was built using Code-RAG! During development, we uploaded the codebase to a Gemini File Search store and queried it to understand implementation details, find bugs, and plan features. The tool enables the very functionality it provides.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><strong>⚙️ Advanced Features (Click to expand)</strong></summary>
|
||||
|
||||
### Intelligent Caching System
|
||||
|
||||
**Location:** `~/.config/gemini-file-search-tool/stores/`
|
||||
|
||||
**How it Works:**
|
||||
- Tracks uploaded files per store in JSON cache files
|
||||
- Uses mtime-based optimization (O(1) check before O(n) hash)
|
||||
- For 1000 unchanged files: ~0.1s (mtime) vs ~5-10s (full hash)
|
||||
- Automatically skips unchanged files on re-upload
|
||||
- Per-store isolation prevents cache conflicts
|
||||
|
||||
**Cache Structure:**
|
||||
```json
|
||||
{
|
||||
"/absolute/path/to/file.py": {
|
||||
"hash": "sha256-hash",
|
||||
"mtime": 1731969000.0,
|
||||
"remote_id": "documents/123",
|
||||
"last_uploaded": "2025-11-18T22:30:00Z"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Cache States:**
|
||||
- **Completed**: Has `remote_id`, file successfully uploaded
|
||||
- **Pending**: Has `operation`, async upload in progress
|
||||
- **Missing**: Not in cache, needs upload
|
||||
|
||||
---
|
||||
|
||||
### Parallel Processing
|
||||
|
||||
**Upload Concurrency:**
|
||||
```bash
|
||||
# Default: Uses CPU core count
|
||||
gemini-file-search-tool upload "*.pdf" --store "papers"
|
||||
|
||||
# Custom workers
|
||||
gemini-file-search-tool upload "*.pdf" --store "papers" --num-workers 8
|
||||
```
|
||||
|
||||
**Sync Concurrency:**
|
||||
```bash
|
||||
# Parallel operation status checking
|
||||
gemini-file-search-tool sync-cache --store "papers" --num-workers 8
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Cost Tracking
|
||||
|
||||
**Query Cost Estimation:**
|
||||
```bash
|
||||
gemini-file-search-tool query "What is this?" --store "docs" --show-cost
|
||||
```
|
||||
|
||||
**Output:**
|
||||
```json
|
||||
{
|
||||
"estimated_cost": {
|
||||
"input_cost_usd": 0.00001125,
|
||||
"output_cost_usd": 0.000096,
|
||||
"total_cost_usd": 0.00010725,
|
||||
"model": "gemini-2.5-flash"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Current Pricing (2025-01):**
|
||||
- **Flash**: $0.075 input / $0.30 output per 1M tokens
|
||||
- **Pro**: $1.25 input / $5.00 output per 1M tokens
|
||||
|
||||
---
|
||||
|
||||
### Authentication Methods
|
||||
|
||||
**Developer API (Recommended for Development):**
|
||||
```bash
|
||||
export GEMINI_API_KEY="AIza..."
|
||||
gemini-file-search-tool list-stores
|
||||
```
|
||||
|
||||
**Vertex AI (Recommended for Production):**
|
||||
```bash
|
||||
export GOOGLE_GENAI_USE_VERTEXAI=true
|
||||
export GOOGLE_CLOUD_PROJECT="my-project"
|
||||
export GOOGLE_CLOUD_LOCATION="us-central1"
|
||||
gemini-file-search-tool list-stores
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><strong>🔧 Troubleshooting (Click to expand)</strong></summary>
|
||||
|
||||
### Common Issues
|
||||
|
||||
**Issue: Authentication error - missing API key**
|
||||
```bash
|
||||
Error: GEMINI_API_KEY or GOOGLE_API_KEY environment variable is required
|
||||
```
|
||||
|
||||
**Solution:**
|
||||
1. Get API key from https://aistudio.google.com/apikey
|
||||
2. Set environment variable:
|
||||
```bash
|
||||
export GEMINI_API_KEY="your-api-key"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Issue: File not uploading**
|
||||
|
||||
**Solution:**
|
||||
1. Check if file is in cache and unchanged:
|
||||
```bash
|
||||
gemini-file-search-tool cache-report --store "your-store" | grep "your-file"
|
||||
```
|
||||
2. Force re-upload with `--rebuild-cache`:
|
||||
```bash
|
||||
gemini-file-search-tool upload "file.pdf" --store "your-store" --rebuild-cache
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Issue: Pending operations not completing**
|
||||
|
||||
**Solution:**
|
||||
Run sync-cache to check operation status:
|
||||
```bash
|
||||
gemini-file-search-tool sync-cache --store "your-store" -v
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Issue: Store not found**
|
||||
|
||||
**Solution:**
|
||||
1. List all stores:
|
||||
```bash
|
||||
gemini-file-search-tool list-stores
|
||||
```
|
||||
2. Use exact display name or ID from list output
|
||||
|
||||
---
|
||||
|
||||
**Issue: Query returning no results**
|
||||
|
||||
**Solution:**
|
||||
1. Verify documents were uploaded successfully:
|
||||
```bash
|
||||
gemini-file-search-tool list-documents --store "your-store"
|
||||
```
|
||||
2. Check if uploads are pending:
|
||||
```bash
|
||||
gemini-file-search-tool cache-report --store "your-store" --pending-only
|
||||
```
|
||||
3. Try simpler query (avoid over-specification)
|
||||
|
||||
---
|
||||
|
||||
### Getting Help
|
||||
|
||||
```bash
|
||||
# General help
|
||||
gemini-file-search-tool --help
|
||||
|
||||
# Command-specific help
|
||||
gemini-file-search-tool upload --help
|
||||
gemini-file-search-tool query --help
|
||||
|
||||
# Verbose logging for debugging
|
||||
gemini-file-search-tool upload "file.pdf" --store "test" -vvv
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Known Issues
|
||||
|
||||
**SDK Bug #1661 - Document Listing**
|
||||
- `list-documents` uses REST API workaround
|
||||
- Only works with Developer API (not Vertex AI)
|
||||
- GitHub: https://github.com/googleapis/python-genai/issues/1661
|
||||
|
||||
</details>
|
||||
|
||||
## Exit Codes
|
||||
|
||||
- `0`: Success
|
||||
- `1`: Error (authentication, validation, API error)
|
||||
|
||||
## Output Formats
|
||||
|
||||
**JSON (Default):**
|
||||
All commands output JSON to stdout, logs to stderr for easy piping:
|
||||
```bash
|
||||
gemini-file-search-tool list-stores | jq '.[] | .display_name'
|
||||
```
|
||||
|
||||
**Text (Select Commands):**
|
||||
Some commands support `--text` flag for human-readable output:
|
||||
```bash
|
||||
gemini-file-search-tool cache-report --store "docs" --text
|
||||
```
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Use Caching**: Let the tool manage duplicates automatically, don't manually track uploads
|
||||
2. **Flash Model for RAG**: 12x more cost-efficient than Pro, perfectly adequate for semantic search
|
||||
3. **Enable Grounding**: Always use `--query-grounding-metadata` to verify sources and validate answers
|
||||
4. **Simple Queries**: Keep queries simple and direct, avoid over-specification (RAG relies on semantic similarity)
|
||||
5. **Code-RAG Documentation**: Comprehensive docstrings maximize retrieval quality for code search
|
||||
6. **Parallel Processing**: Use `--num-workers` to speed up large uploads
|
||||
7. **Async + Sync**: Use `--no-wait` for bulk uploads, then `sync-cache` to check final status
|
||||
|
||||
## Resources
|
||||
|
||||
- **GitHub**: https://github.com/dnvriend/gemini-file-search-tool
|
||||
- **Gemini File Search API**: https://ai.google.dev/gemini-api/docs/file-search
|
||||
- **Google AI Studio**: https://aistudio.google.com/
|
||||
- **API Keys**: https://aistudio.google.com/apikey
|
||||
- **Pricing**: https://ai.google.dev/pricing
|
||||
Reference in New Issue
Block a user