Send Concurrent Requests to the Gemini API with Async Python
Send Concurrent Requests to the Gemini API with Async Python — practical guide covering gemini-api setup, configuration, and troubleshooting with real-w...
Gemini API Articles
49 articles
Transcribe and Analyze Audio with the Gemini API
The Gemini API's multimodal capabilities can transcribe and analyze audio, but it's not just about turning speech into text; it’s about extracting rich,.
Run Batch Gemini Predictions on Vertex AI for Cost Savings
Running batch predictions on Vertex AI can slash your inference costs, but it's not just about throwing more data at the model.
Maintain Chat History and Multi-Turn Conversations with Gemini
The most surprising thing about maintaining chat history with Gemini is that it doesn't actually "remember" anything in the way a human does; instead, y.
Run Code Directly in Gemini with the Code Execution Tool
You can run code directly in Gemini, and it's not just for spitting out snippets; it's about interacting with live, evolving computation.
Generate and Review Code with the Gemini API
The Gemini API doesn't just generate code; it actively understands your existing codebase to suggest improvements and identify potential issues.
Reduce Gemini API Costs with Context Caching
Caching context for Gemini API calls can drastically cut your operational expenses by avoiding redundant processing of identical input.
Gemini Flash vs Pro: Optimize for Cost vs Quality
Gemini Flash is the speed demon, Pro is the brains of the operation. Here's how they actually perform when you're trying to get something done, not just.
Extract and Classify Structured Data from Text with Gemini
Gemini can pull structured data out of unstructured text, but it's not just about finding keywords; it's about the model understanding the relationships.
Build a Document Q&A Pipeline with the Gemini API
The most surprising thing about building a document Q&A pipeline with Gemini is how little you actually need to know about the underlying embeddings or .
Generate Embeddings and Build Semantic Search with Gemini
Generating embeddings and building semantic search with Gemini is surprisingly about understanding how to turn unstructured text into a format that a ne.
Use Gemini API in Enterprise with GDPR and Compliance Controls
The Gemini API can be used in enterprise environments while adhering to strict GDPR and compliance controls, but it requires a deliberate architectural .
Improve Gemini Accuracy with Few-Shot Examples in Context
Gemini's accuracy isn't a fixed number; it's a spectrum that you actively shape by showing it what "good" looks like, even if it's just a few examples.
Call External Functions and APIs from Gemini with Tool Use
You can call external functions and APIs from Gemini using Tool Use, which lets Gemini access real-world data and trigger actions.
Gemini 1.5 Pro vs Flash: Pick the Right Model for Your Task
Gemini 1.5 Pro vs Flash: Pick the Right Model for Your Task — Gemini 1.5 Pro and Flash aren't just different-sized models; they represent a fundamental ...
Run Gemma Open-Weight Models Locally for Private Inference
Running Gemma open-weight models locally for private inference means you can use Google's powerful AI models without sending your data to the cloud.
Set Up the Google Generative AI Python SDK for Gemini
The Google Generative AI Python SDK for Gemini allows you to integrate powerful multimodal AI models into your Python applications, enabling you to buil.
Ground Gemini Responses in Real-Time Google Search Results
Gemini can pull real-time information from Google Search to ground its responses, making them more current and accurate than models that rely solely on .
Extract Structured JSON from Gemini with JSON Mode
Extract Structured JSON from Gemini with JSON Mode — practical guide covering gemini-api setup, configuration, and troubleshooting with real-world examp...
Secure Your Gemini API Keys from Exposure
Gemini API keys are not secrets you guard; they're credentials you manage, and treating them as disposable is the first step to securing them.
Integrate the Gemini API with LangChain
The Gemini API can be integrated with LangChain by configuring the ChatGoogleGenerativeAI class with your API key and desired model.
Build Real-Time Voice and Video Apps with Gemini Live API
The Gemini Live API doesn't just stream data; it orchestrates a dynamic, real-time conversation between your application and Google's AI models, allowin.
Use the Gemini API with LlamaIndex for RAG Applications
Gemini's multimodal capabilities can be leveraged with LlamaIndex to create RAG applications that go beyond simple text retrieval.
Load Test the Gemini API for Throughput and Latency Benchmarks
The Gemini API's throughput and latency aren't just about how fast it answers, but how predictably it can do so under pressure, revealing bottlenecks in.
Analyze Images and Mixed Content with Gemini Multimodal Vision
Gemini's multimodal vision doesn't just "see" images; it understands the relationships between text and visual elements as a single, cohesive piece of i.
Analyze PDF Documents Directly with the Gemini API
The Gemini API can't directly "analyze" PDF documents in the way you might think; it processes text and image data, not file formats.
Design Production Systems on the Gemini API
The Gemini API isn't just a black box for generating text; it's a powerful tool for building dynamic, interactive experiences that feel almost magical.
Monitor Gemini API Usage, Errors, and Costs in Production
The Gemini API doesn't just tell you how much you're using it; it actively hides the most critical cost signals until they're already a problem.
Write Better Gemini Prompts with System Instructions and Examples
The most surprising thing about Gemini prompts is that they aren't just about asking questions; they're about defining the AI's persona and operational .
Get Started with Gemini API in Python in 5 Minutes
The Gemini API's true power isn't just generating text, it's its uncanny ability to understand and synthesize information from multiple modalities, maki.
Build RAG Pipelines with the Gemini API and Vector Databases
The most surprising truth about RAG pipelines is that they don't actually make your LLM "smarter" in the way you might think.
Handle Gemini API Rate Limits and Quota Errors in Production
Gemini API rate limits and quota errors are your first real taste of production-grade API management, and they're less about hitting a brick wall and mo.
Configure Gemini Safety Settings for Production Applications
Configure Gemini Safety Settings for Production Applications — practical guide covering gemini-api setup, configuration, and troubleshooting with real-w...
Stream Gemini API Responses Chunk by Chunk in Python
The Gemini API, when you ask it for a streaming response, doesn't just send back a single big blob of text when it's done.
Enforce Structured JSON Output from Gemini with Schema Validation
Gemini's ability to generate structured JSON output is a powerful tool, but without explicit guidance, it can produce output that looks like JSON but fa.
Summarize Long Documents with Gemini's Extended Context
Gemini's extended context window means it can "remember" way more of your conversation than you'd expect, making it a powerhouse for summarizing long do.
Control Gemini Behavior with System Instructions
Control Gemini Behavior with System Instructions — practical guide covering gemini-api setup, configuration, and troubleshooting with real-world examples.
Use Gemini Extended Thinking Mode for Complex Reasoning Tasks
Gemini Extended Thinking Mode doesn't just generate an answer; it simulates a collaborative brainstorming session with itself, exploring multiple avenue.
Count Gemini Tokens Before Sending to Control Costs
The most surprising thing about counting Gemini tokens is that the "tokens" you're charged for aren't necessarily the words you see.
Translate Between 100+ Languages with the Gemini API
The most surprising thing about using the Gemini API for translation is that it's not just a dictionary lookup; it's actively understanding and regenera.
Fine-Tune Gemini Models on Your Own Data via Vertex AI
Fine-tuning Gemini models on your own data is less about teaching the model "new facts" and more about teaching it to understand your domain's language .
Deploy the Gemini API at Enterprise Scale on Vertex AI
The most surprising thing about deploying Gemini at enterprise scale on Vertex AI is that it's not primarily about training the model, but about managin.
Analyze Long Videos Frame-by-Frame with the Gemini API
The Gemini API doesn't process entire videos; it analyzes individual frames you extract and send. Let's see how this plays out in a real workflow
Gemini API vs Claude API: Compare Models, Pricing, and Features
The most surprising thing about comparing Gemini and Claude is that their "intelligence" isn't a single, static score but a dynamic emergent property of.
Migrate from OpenAI API to Gemini API Step by Step
The most surprising thing about migrating from OpenAI to Gemini is how little of your core application logic needs to change, despite the fundamental di.
Generate Images with Gemini Whisk and Imagen
The most surprising thing about generating images with Gemini and Imagen is that you're not actually "generating" them in the way most people think; you.
Use Gemini's 1M Token Context Window for Long-Document Tasks
Gemini's 1 million token context window doesn't just let you read longer documents; it fundamentally changes how you can interact with information by tr.
Build Agentic Workflows with the Gemini API
Build Agentic Workflows with the Gemini API — practical guide covering gemini-api setup, configuration, and troubleshooting with real-world examples.
Gemini AI Studio vs Vertex AI: Choose the Right Platform
Gemini AI Studio isn't just a more user-friendly interface for Vertex AI; it's a distinct product designed for rapid prototyping and exploration of gene.