Use Cases & Patterns
Discover common use cases and architectural patterns for building with the OpenAI API.
Common Use Cases
Chatbots & Virtual Assistants
Build intelligent conversational interfaces that understand context and provide helpful responses.
- • Customer support chatbots
- • Personal AI assistants
- • Interactive FAQ systems
- • Voice-enabled assistants
Content Generation
Automatically create high-quality content for various purposes and platforms.
- • Blog posts and articles
- • Marketing copy
- • Social media content
- • Product descriptions
Semantic Search & RAG
Build intelligent search systems that understand meaning and context using embeddings.
- • Document search engines
- • Knowledge base queries
- • Recommendation systems
- • Content discovery
AI Agents
Create autonomous agents that can use tools and make decisions to accomplish complex tasks.
- • Research assistants
- • Task automation
- • Data analysis agents
- • Multi-step workflows
Education & Learning
Enhance learning experiences with AI-powered tutoring and educational content.
- • Personalized tutors
- • Language learning apps
- • Quiz generation
- • Study assistants
E-commerce
Improve shopping experiences with AI-powered recommendations and support.
- • Product recommendations
- • Shopping assistants
- • Review analysis
- • Inventory descriptions
Audio & Transcription
Process and generate audio content for various applications.
- • Meeting transcription
- • Podcast subtitles
- • Audiobook creation
- • Voice commands
Content Moderation
Automatically filter and moderate user-generated content for safety.
- • Comment filtering
- • Content safety checks
- • Spam detection
- • Policy compliance
Common Patterns
RAG (Retrieval Augmented Generation)
Combine your knowledge base with AI generation for accurate, context-aware responses.
- 1Split documents into chunks
- 2Create embeddings for each chunk
- 3Store embeddings in vector database
- 4Retrieve relevant chunks for user queries
- 5Pass chunks to GPT as context
- 6Generate accurate, grounded responses
AI Agent with Tools
Build autonomous agents that can use multiple tools to accomplish complex tasks.
- 1Define available functions/tools
- 2AI analyzes user request
- 3AI decides which tool to use
- 4Execute the selected function
- 5AI processes the results
- 6Formulate final response
Multi-Modal Pipeline
Combine different AI capabilities for comprehensive content creation.
- 1Generate content outline with GPT
- 2Expand each section with details
- 3Create supporting images with DALL-E
- 4Generate audio narration with TTS
- 5Combine into final multimedia content