Key considerations for connecting AI models to enterprise data

Organizations aiming to harness AI face challenges in integrating Large Language Models with existing knowledge systems. Balancing technical needs, data privacy, costs, and timelines while ensuring business value is critical.

This guide outlines key factors for successful LLM integration with private platforms, covering:

• Three usage patterns: fine-tuned models, data vectorization, and model interrogation with private context
• Trade-offs between custom models and pre-trained solutions
• A real-world example of semantic search with knowledge graphs

Explore strategies to integrate LLMs, safeguard data privacy, and maximize knowledge management investments.