Integration7 min read

LLM Integration Patterns for Enterprise Applications

FrontierAI Team

2024-12-28T12:00:00Z

Integrating Intelligence

Adding an LLM to your stack requires careful architectural consideration. It's not just an API call; it's a new component with unique latency, cost, and reliability characteristics.

Common Patterns

  • RAG (Retrieval-Augmented Generation): Injecting relevant context from your private data into the prompt to ground the model's response.
  • ReAct (Reason + Act): Enabling the model to think through a problem and take actions iteratively.
  • Guardrails: Wrapping the model input and output with validation logic to ensure safety and compliance.

Security First

Enterprise integration means data privacy is paramount. We advocate for:

  • PII masking before data hits the model.
  • Private endpoints (Azure OpenAI, Bedrock) rather than public APIs.
  • Strict access controls on the tools the model can access.
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