This article outlines three practical patterns for integrating Large Language Models (LLMs) into Software as a Service (SaaS) products. It details prompt-based API wrappers for simple text generation, Retrieval-Augmented Generation (RAG) for domain-specific knowledge using vector stores, and asynchronous batch processing for bulk operations. The guide includes code snippets in Ruby, Python, and Go, along with common pitfalls to avoid for each pattern, such as managing API keys, keeping embeddings updated, and optimizing token usage. AI
IMPACT Provides developers with practical patterns and code examples for integrating LLMs into SaaS products, addressing common pitfalls.
RANK_REASON The article provides practical patterns and code examples for integrating LLMs into SaaS products, which falls under tooling and implementation guidance.
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