Context & RAG

Context Management

Deeply understand AI memory mechanisms and build smarter knowledge retrieval systems.

What is Context?

Context is the range of information AI can process in a single conversation. By managing context (e.g., RAG), we can let AI 'read' millions of words from private documents.

Management Strategies

1. Vector Retrieval: Feed AI only the most relevant snippets
2. Memory Compression: Summarize history to save tokens
3. Structured Input: Use XML or JSON to organize data

Context Optimization Tools

RAG Context Optimizer

Tools and scripts to optimize context window usage in RAG systems.

RAGOptimizationToken

Build Local Knowledge Base

Want AI to learn your professional docs? Check our RAG practice guide.