In-depth guides to help you build better AI applications with Synqly.
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Learn the basics of integrating Synqly into your application. Set up authentication, make your first API call, and understand the core concepts.
Create engaging conversational experiences using Synqly. Learn about chat interfaces, streaming responses, and context management.
Master the art of crafting effective prompts. Learn techniques for getting better responses, handling edge cases, and optimizing for different models.
Implement robust error handling and manage rate limits effectively. Learn retry strategies, exponential backoff, and graceful degradation.
Build resilient applications that work across multiple AI providers. Learn fallback strategies, provider selection, and cost optimization.
Implement high-performance streaming for real-time AI responses. Handle server-sent events, manage connections, and optimize user experience.
Best practices for API key management. Learn about environment variables, key rotation, access control, and monitoring for unauthorized usage.
Reduce your AI costs without sacrificing quality. Learn about token optimization, caching strategies, and choosing the right models for your use case.
Track usage, performance, and costs across your AI applications. Set up logging, dashboards, and alerts for production systems.
Create retrieval-augmented generation systems. Learn about vector databases, embedding strategies, and context injection for accurate responses.
Implement comprehensive testing strategies for AI-powered features. Learn about unit tests, integration tests, and evaluation frameworks.
Deploy AI applications globally with minimal latency. Learn about edge computing, regional endpoints, and performance optimization.
Check our full documentation or reach out to our support team for personalized help.