Enterprise AI•15 min read
Enterprise Context Engineering: Managing Knowledge at Scale
Optimize context windows, design enterprise knowledge bases, and manage context at scale for large AI deployments. Strategies for handling millions of documents and complex queries.
Enterprise Context Engineering: Managing Knowledge at Scale
Enterprise AI deployments require sophisticated context management strategies to handle vast amounts of information efficiently.
Challenges
- Context window limitations (even with 200K+ token windows)
- Information density and relevance
- Multi-source data integration
- Cost at scale
- Maintaining accuracy with compressed context
Strategies
- Hierarchical context management
- Smart summarization and compression
- Multi-stage retrieval
- Metadata-driven filtering
- Context versioning and freshness
Design for scale from the start.