The Context Window is the maximum information, measured in tokens, that a large language model can process at once, its effective working memory. Modern models like Claude offer 200,000+ tokens and Gemini provides 1 million+ tokens, enabling analysis of entire contracts, extended conversation histories, codebases, and comprehensive document collections in a single request.
Context window size directly determines the sophistication of AI applications possible. Larger context windows enable processing of entire books, multi-document analysis, long-running agent conversations, and complex reasoning chains. However, effective context utilisation requires strategies like RAG, attention-aware prompting, and intelligent context management to maintain accuracy across long inputs.
BespokeWorks optimises context window usage across all AI deployments, balancing comprehensiveness with accuracy and cost. Our implementations use intelligent chunking, context prioritisation, and RAG architectures to ensure your AI applications make the most effective use of available context, whether processing a single document or an entire knowledge base.