AI Letters #13 · Memory Footprint
How LLM Frameworks Manage Memory
The architectural decisions behind lazy vs eager loading — and why LangChain imports less RAM than LlamaIndex despite having fewer dependencies at runtime. Click any event to expand.
Loading Strategy by Framework
LangChain
Lazy Loading
Core imports only the router and base types. Provider integrations (OpenAI, Groq, FAISS) load on first use. Result: lowest import floor despite the largest package count.
82 MB
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SynapseKit
Selective Loading
Minimal dependency tree means less to load regardless of strategy. Core objects load upfront but they're lightweight. The embedding model only loads when you first call add() or retrieve().
89 MB
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LlamaIndex
Eager Loading
Node parsers, document stores, and pipeline infrastructure initialise at import time. The architecture was designed for full pipeline orchestration — that capability has an upfront memory cost.
114 MB
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www.engineersofai.com · AI Letters #13