Building AI agents? The challenge isn't prompt engineering, it's context engineering.
Voyage AI’s instruction-following rerankers can prioritize what lands in your LLM's context via natural language instructions.
📝 With instruction-following rerankers, you can dynamically steer the reranking process with natural language instructions. Specify what matters—source hierarchy, application-specific rules—and the reranker adjusts relevance scores accordingly.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
You can express retrieval policy, such as preferring one source over another, as an instruction to the reranker instead of building custom filtering and scoring logic.
