567-labs--instructor/docs/examples/index.md

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Instructor Cookbook Collection	Practical examples and recipes for solving real-world problems with structured outputs

Instructor Cookbooks

• :material-text-box-multiple: Text Processing

  Extract structured information from text documents

  :octicons-arrow-right-16: View Recipes

• :material-image: Multi-Modal

  Work with images and other media types

  :octicons-arrow-right-16: View Recipes

• :material-database: Data Tools

  Integrate with databases and data processing tools

  :octicons-arrow-right-16: View Recipes

• :material-server: Deployment

  Options for local and cloud deployment

  :octicons-arrow-right-16: View Recipes

Our cookbooks demonstrate how to use Instructor to solve real-world problems with structured outputs. Each example includes complete code and explanations to help you implement similar solutions in your own projects.

Text Processing

Classification Examples

Example	Description	Use Case
Single Classification	Basic classification with a single category	Content categorization
Multiple Classification	Handling multiple classification categories	Multi-label document tagging
Enum-Based Classification	Using Python enums for structured classification	Standardized taxonomies
Batch Classification	Process multiple items efficiently	High-volume text processing
Batch Classification with LangSmith	Using LangSmith for batch processing	Performance monitoring
Local Classification	Classification without external APIs	Offline processing

Information Extraction

Example	Description	Use Case
Entity Resolution	Identify and disambiguate entities	Name standardization
Contact Information	Extract structured contact details	CRM data entry
PII Sanitization	Detect and redact sensitive information	Privacy compliance
Citation Extraction	Accurately extract formatted citations	Academic research
Action Items	Extract tasks from text	Meeting follow-ups
Search Query Processing	Structure complex search queries	Search enhancement

Document Processing

Example	Description	Use Case
Document Segmentation	Divide documents into meaningful sections	Long-form content analysis
Planning and Tasks	Break down complex queries into subtasks	Project management
Knowledge Graph Generation	Create relationship graphs from text	Information visualization
Knowledge Graph Building	Build and query knowledge graphs	Semantic data modeling
Chain of Density	Implement iterative summarization	Content distillation

Multi-Modal Examples

Vision Processing

Example	Description	Use Case
Table Extraction	Convert image tables to structured data	Data entry automation
Table Extraction with GPT-4	Advanced table extraction	Complex table processing
Receipt Information	Extract data from receipt images	Expense management
Slide Content Extraction	Convert slides to structured text	Presentation analysis
Image to Ad Copy	Generate ad text from images	Marketing automation
YouTube Clip Analysis	Extract info from video clips	Content moderation

Multi-Modal Processing

Example	Description	Use Case
Gemini Multi-Modal	Process text, images, and other data	Mixed-media analysis

Data Tools

Database Integration

Example	Description	Use Case
SQLModel Integration	Store AI-generated data in SQL databases	Persistent storage
Pandas DataFrame	Work with structured data in Pandas	Data analysis

Streaming and Processing

Example	Description	Use Case
Partial Response Streaming	Stream partial results in real-time	Interactive applications
Self-Critique and Correction	Implement self-assessment	Quality improvement

API Integration

Example	Description	Use Case
Content Moderation	Implement content filtering	Trust & safety
Cost Optimization with Batch API	Reduce API costs	Production efficiency
Few-Shot Learning	Use contextual examples in prompts	Performance tuning

Observability & Tracing

Example	Description	Use Case
Langfuse Tracing	Open-source LLM engineering	Observability & Debugging

Deployment Options

Model Providers

Example	Description	Use Case
Groq Cloud API	High-performance inference	Low-latency applications
Mistral/Mixtral Models	Open-source model integration	Cost-effective deployment
IBM watsonx.ai	Enterprise AI platform	Business applications

Local Deployment

Example	Description	Use Case
Ollama Integration	Local open-source models	Privacy-focused applications

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Looking for more structured learning? Check out our Tutorial series for step-by-step guides.