The post details the construction of a generative AI platform, highlighting the common components such as context enhancement, guardrails, model routers, gateways, and caching techniques. It explores the complexities of context construction through retrieval-augmented generation (RAG) and the necessity of guardrails for input and output protection. The article also discusses the importance of adding routers and gateways for handling multiple models, optimizing for cost and latency, and ensuring security. Observability and orchestration principles for managing extensive AI application flows are also covered.
Table of contents
Step 1. Enhance ContextStep 2. Put in GuardrailsStep 3. Add Model Router and GatewayStep 4. Reduce Latency with CacheStep 5. Add complex logic and write actionsObservabilityAI Pipeline OrchestrationConclusionReferences and Acknowledgments34 Impressions3 Comments