Structured Memory vs
Standard RAG
Traditional RAG fails in large codebases. Learn how Agentic Memory Routing (AMR) maintains structural boundaries and reduces token costs by 15x.
The RAG Context Collapse
When an AI agent modifies a core utility function, it needs the entire dependency graph of every module that calls it. Standard RAG relies on naive vector similarity, frequently pulling in syntactically similar but structurally unrelated files, flooding the context window and causing hallucinated patches.
Standard RAG
- Retrieves chunks based on text similarity
- Breaks function boundaries during chunking
- Massive context bloat (high token costs)
- Blind to abstract syntax trees (AST)
Agentic Memory Routing (AMR)
- Retrieves entire structured node graphs
- Preserves precise functional boundaries
- 15x reduction in token costs
- Full AST and dependency awareness
