# Overview

Practical guides, tutorials, and reference documentation for building with Fiddler.

## ⚡ Quick Starts

Get up and running in minutes with step-by-step quick start guides:

* [**Get Started in <10 Minutes**](https://docs.fiddler.ai/developers/platform/get-started-in-less-than-10-minutes) - Fastest way to integrate Fiddler
* **Agentic Monitoring Quick Starts** - Monitor AI agents and multi-step workflows
  * [LangGraph SDK Quick Start](https://docs.fiddler.ai/developers/agentic-ai-monitoring/langgraph-sdk-quick-start) or
  * [Strands Agent SDK Quick Start](https://docs.fiddler.ai/developers/agentic-ai-monitoring/strands-agent-quick-start) or
  * [OpenTelemetry Quick Start](https://docs.fiddler.ai/developers/agentic-ai-monitoring/opentelemetry-quick-start)
* [**Experiments Quick Start**](https://docs.fiddler.ai/developers/experiments/experiments-quick-start) - Evaluate LLM outputs with custom metrics
* [**Guardrails Quick Start**](https://docs.fiddler.ai/developers/guardrails/guardrails-quick-start) - Add safety guardrails to your AI applications

## 📚 Tutorials

In-depth, hands-on tutorials organized by product area:

### Experiments

Learn how to evaluate and test your LLM applications:

* [RAG Health Metrics Tutorial](https://docs.fiddler.ai/developers/tutorials/experiments/rag-health-metrics-tutorial)
* [Evals SDK Advanced Guide](https://docs.fiddler.ai/developers/tutorials/experiments/evals-sdk-advanced)
* [Advanced Prompt Specs](https://docs.fiddler.ai/developers/tutorials/experiments/prompt-specs-advanced)

### Agentic & LLM Monitoring

Monitor production LLM applications and AI agents:

* [LangGraph SDK Quick Start](https://docs.fiddler.ai/developers/agentic-ai-monitoring/langgraph-sdk-quick-start)
* [LangGraph SDK Advanced](https://docs.fiddler.ai/developers/tutorials/llm-monitoring/langgraph-sdk-advanced)
* [Simple LLM Monitoring](https://docs.fiddler.ai/developers/llm-monitoring/simple-llm-monitoring)

### Guardrails

Implement safety controls for your AI applications:

* [Faithfulness Guardrails](https://docs.fiddler.ai/developers/tutorials/guardrails/guardrails-faithfulness)
* [Safety Guardrails](https://docs.fiddler.ai/developers/tutorials/guardrails/guardrails-safety)
* [PII Detection Guardrails](https://docs.fiddler.ai/developers/tutorials/guardrails/guardrails-pii)

### ML Monitoring

Monitor traditional ML models in production:

* [ML Monitoring Quick Start](https://docs.fiddler.ai/developers/ml-monitoring/simple-ml-monitoring)
* [NLP Model Monitoring](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/simple-nlp-monitoring-quick-start)
* [Class Imbalance Handling](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/class-imbalance-monitoring-example)
* [Model Versions](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/ml-monitoring-model-versions)
* [Ranking Models](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/ranking-model)
* [Regression Models](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/ml-monitoring-regression)
* [Feature Impact Analysis](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/user-defined-feature-impact)
* [Computer Vision Monitoring](https://docs.fiddler.ai/developers/tutorials/ml-monitoring/cv-monitoring)

## 🍳 Cookbooks

Use-case oriented guides that demonstrate end-to-end workflows for solving real problems:

* [**RAG Evaluation Fundamentals**](https://docs.fiddler.ai/developers/cookbooks/rag-evaluation-fundamentals) — Evaluate RAG quality with built-in evaluators
* [**Running RAG Experiments at Scale**](https://docs.fiddler.ai/developers/cookbooks/rag-experiments-at-scale) — Compare pipeline configurations systematically
* [**Building Custom Judge Evaluators**](https://docs.fiddler.ai/developers/cookbooks/custom-judge-evaluators) — Create domain-specific evaluation criteria
* [**Detecting Hallucinations in RAG**](https://docs.fiddler.ai/developers/cookbooks/hallucination-detection-pipeline) — Monitor for hallucinations in production
* [**Monitoring Agentic Content Generation**](https://docs.fiddler.ai/developers/cookbooks/agentic-content-generation) — Quality and brand compliance for content agents

## 📖 Client Library Reference

Comprehensive reference documentation for Fiddler's Python client:

### Getting Started

* [Installation and Setup](https://docs.fiddler.ai/developers/client-library-reference/installation-and-setup)
* [Naming Convention Guidelines](https://docs.fiddler.ai/developers/client-library-reference/naming-convention-guidelines)
* [Alerts with Fiddler Client](https://docs.fiddler.ai/developers/client-library-reference/alerts-with-fiddler-client)

### Model Onboarding

* [Create a Project and Model](https://docs.fiddler.ai/developers/client-library-reference/model-onboarding/create-a-project-and-model)
* [Customizing Your Model Schema](https://docs.fiddler.ai/developers/client-library-reference/model-onboarding/customizing-your-model-schema)
* [Task Types](https://docs.fiddler.ai/developers/client-library-reference/model-onboarding/task-types)
* [Custom Missing Values](https://docs.fiddler.ai/developers/client-library-reference/model-onboarding/specifying-custom-missing-value-representations)

### Publishing Production Data

* [Creating a Baseline Dataset](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/creating-a-baseline-dataset)
* [Publishing Batches of Events](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/publishing-batches-of-events)
* [Streaming Live Events](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/streaming-live-events)
* [Updating Events](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/updating-events)
* [Deleting Events](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/deleting-events)
* [Ranking Events](https://docs.fiddler.ai/developers/client-library-reference/publishing-production-data/ranking-events)

**Model Task Examples:**

* [Binary Classification](https://docs.fiddler.ai/developers/client-library-reference/explainability/model-task-examples/binary-classification)
* [Multiclass Classification](https://docs.fiddler.ai/developers/client-library-reference/explainability/model-task-examples/multiclass-classification)
* [Regression](https://docs.fiddler.ai/developers/client-library-reference/explainability/model-task-examples/regression)
* [Ranking Model](https://docs.fiddler.ai/developers/client-library-reference/explainability/model-task-examples/uploading-a-ranking-model-artifact)

**ML Framework Examples:**

* [Scikit-learn](https://docs.fiddler.ai/developers/client-library-reference/explainability/ml-framework-examples/scikit-learn)
* [TensorFlow HDF5](https://docs.fiddler.ai/developers/client-library-reference/explainability/ml-framework-examples/tensorflow-hdf5)
* [TensorFlow SavedModel](https://docs.fiddler.ai/developers/client-library-reference/explainability/ml-framework-examples/tensorflow-savedmodel)
* [XGBoost](https://docs.fiddler.ai/developers/client-library-reference/explainability/ml-framework-examples/xgboost)

***

## Related Documentation

* [**SDK & API Reference**](https://app.gitbook.com/s/rsvU8AIQ2ZL9arerribd/sdk-and-api-reference/readme) - Complete API documentation
* [**Integrations**](https://app.gitbook.com/o/MIMFsmMfRqhAZbzV2AtV/s/kcq97TxAnbTVaNJOQHbQ/) - Connect Fiddler with your ML stack
* [**Documentation**](https://app.gitbook.com/s/82RHcnYWV62fvrxMeeBB/welcome/readme) - Product guides and platform documentation