title: "Enterprise AI indexing: Why context matters"

Indexing enterprise data is crucial for improving the accuracy, latency, and token efficiency of AI systems. A well-designed enterprise index provides the necessary context for AI models to function effectively. However, simple retrieval is not enough, as a more comprehensive approach to context is required for optimal performance. This involves more than just indexing, ensuring the AI has a deep understanding of the company's information landscape to deliver valuable results.