> ## Documentation Index > Fetch the complete documentation index at: https://agno-v2-docs-scavio-google-v2.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Gemini > Gemini examples for multimodal input, file search, grounding, knowledge, thinking, structured output, tools, and Vertex AI. | Example | Description | | ---------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- | | [Agent with Thinking Budget](/examples/models/google/gemini/agent-with-thinking-budget) | Cap Gemini 2.5 Pro's reasoning with thinking\_budget and surface thought summaries with include\_thoughts. | | [Google Audio Input Bytes Content](/examples/models/google/gemini/audio-input-bytes-content) | Pass a downloaded WAV file to Gemini as raw audio bytes for analysis. | | [Google Audio Input File Upload](/examples/models/google/gemini/audio-input-file-upload) | Upload an MP3 through the Gemini Files API and reuse the remote file across runs. | | [Google Audio Input Local File Upload](/examples/models/google/gemini/audio-input-local-file-upload) | Send a local MP3 to Gemini with Audio(filepath) and stream the analysis. | | [Google Basic](/examples/models/google/gemini/basic) | Run a Gemini 3.5 Flash agent with sync, async, and streaming responses. | | [DB](/examples/models/google/gemini/db) | Persist Gemini agent sessions in Postgres and carry history across turns. | | [External URL Input](/examples/models/google/gemini/external-url-input) | Pass a public HTTPS PDF URL straight to Gemini 3.5 Flash with File(url=...), no download step. | | [Google File Search Advanced](/examples/models/google/gemini/file-search-advanced) | Manage multiple Gemini File Search stores with custom chunking and metadata filters. | | [Google File Search Basic](/examples/models/google/gemini/file-search-basic) | Create a Gemini File Search store, upload a document, and query it with citations. | | [Google File Search RAG Pipeline](/examples/models/google/gemini/file-search-rag-pipeline) | Build an async RAG pipeline over a directory of files with Gemini File Search. | | [File Upload with Cache](/examples/models/google/gemini/file-upload-with-cache) | Upload a transcript with the Gemini Files API, cache it with a 5-minute TTL, and query the cached content to cut prompt tokens. | | [GCS File Input](/examples/models/google/gemini/gcs-file-input) | Summarize a PDF straight from a Google Cloud Storage gs\:// URI using Gemini on Vertex AI, with no download or re-upload. | | [Gemini 2 to 3](/examples/models/google/gemini/gemini-2-to-3) | Migrate a Gemini 2.5 session to Gemini 3.1 Pro Preview by sharing history through SqliteDb. | | [Gemini 3 Pro](/examples/models/google/gemini/gemini-3-pro) | Migrate the pinned Gemini 3 Pro example to Gemini 3.1 Pro Preview before using web search and SQLite chat history. | | [Gemini 3 Pro Thinking Level](/examples/models/google/gemini/gemini-3-pro-thinking-level) | Migrate the pinned thinking-level example to Gemini 3.1 Pro Preview and stream the async response. | | [Grounding with Gemini](/examples/models/google/gemini/grounding) | Grounding enables Gemini to search the web and provide responses backed by real-time information with citations. | | [Google Image Editing](/examples/models/google/gemini/image-editing) | Send an image to Gemini and get back an edited version using image response modalities. | | [Google Image Generation](/examples/models/google/gemini/image-generation) | Generate an image with Gemini response modalities and open it with PIL. | | [Google Image Input](/examples/models/google/gemini/image-input) | Pass an image URL to a Gemini agent and fetch related news with web search. | | [Google Image Input File Upload](/examples/models/google/gemini/image-input-file-upload) | Upload an image through the Gemini Files API and combine it with web search. | | [Imagen Tool](/examples/models/google/gemini/imagen-tool) | Generate an image with the GeminiTools Imagen toolkit driven by a GPT-4o agent and save the result as a PNG. | | [Imagen Tool Advanced](/examples/models/google/gemini/imagen-tool-advanced) | Generate an image with the Imagen 4 model through GeminiTools on Vertex AI and save the result as a PNG. | | [Knowledge](/examples/models/google/gemini/knowledge) | Query a PDF knowledge base stored in PgVector with Gemini embeddings. | | [PDF Input File Upload](/examples/models/google/gemini/pdf-input-file-upload) | Upload a PDF to the Gemini Files API, then ask an agent to summarize it and suggest a recipe from it. | | [Google PDF Input Local](/examples/models/google/gemini/pdf-input-local) | Attach a local PDF to a Gemini agent and ask follow-up questions with history. | | [Google PDF Input URL](/examples/models/google/gemini/pdf-input-url) | Summarize a PDF from a URL and ask follow-ups using InMemoryDb chat history. | | [Retry](/examples/models/google/gemini/retry) | Review retry settings and why invalid model IDs cannot reliably exercise the retry path. | | [S3 URL File Input](/examples/models/google/gemini/s3-url-file-input) | Generate an S3 pre-signed URL with boto3 and pass it straight to Gemini to summarize the PDF without downloading it. | | [Google Search with Gemini](/examples/models/google/gemini/search) | The search tool enables Gemini to access current information from Google Search. | | [Storage and Memory](/examples/models/google/gemini/storage-and-memory) | Combine PgVector knowledge, Postgres memory, session summaries, and web search on Gemini. | | [Google Structured Output](/examples/models/google/gemini/structured-output) | Return an event plan as a Pydantic schema with enums, formats, and nested objects. | | [Google Text To Speech](/examples/models/google/gemini/text-to-speech) | Generate speech with a Gemini TTS model and write the audio to a WAV file. | | [Google Thinking Agent](/examples/models/google/gemini/thinking-agent) | Solve a logic puzzle with a Gemini thinking budget and thought summaries enabled. | | [Tool Use](/examples/models/google/gemini/tool-use) | Add web search tools to a Gemini agent and run sync, streaming, and async. | | [URL Context](/examples/models/google/gemini/url-context) | Compare two recipe pages by enabling Gemini's url\_context to fetch page content. | | [URL Context with Search](/examples/models/google/gemini/url-context-with-search) | Combine URL context with Google Search for comprehensive web analysis. | | [Vertex AI Search with Gemini](/examples/models/google/gemini/vertex-ai-search) | Vertex AI Search allows Gemini to search through your data stores, providing grounded responses based on your private knowledge base. | | [Vertex AI](/examples/models/google/gemini/vertexai) | Authenticate Gemini against Vertex AI with environment variables or explicit `project_id` and `location` parameters on the Gemini model. | | [Google Vertex AI With Credentials](/examples/models/google/gemini/vertexai-with-credentials) | Authenticate Gemini on Vertex AI with explicit service account credentials. | | [Google Video Input Bytes Content](/examples/models/google/gemini/video-input-bytes-content) | Download an MP4 and pass it to Gemini as raw video bytes for analysis. | | [Google Video Input File Upload](/examples/models/google/gemini/video-input-file-upload) | Upload a video through the Gemini Files API and poll until it is ready to query. | | [Google Video Input Local File Upload](/examples/models/google/gemini/video-input-local-file-upload) | Pass a local video file to Gemini and ask the agent to describe its contents. | | [Google Video Input YouTube](/examples/models/google/gemini/video-input-youtube) | Send a YouTube URL as video input to Gemini and have the agent describe it. |