How do agents efficiently retrieve relevant knowledge without exceeding context limits?

Implement semantic search with vector embeddings to retrieve only the most relevant knowledge chunks. Use re-ranking to prioritize high-relevance results. Implement hierarchical retrieval (summaries first, details on demand). Cache frequently accessed knowledge. Design agent tools to fetch knowledge incrementally rather than loading entire knowledge base.