4 posts about microfinance by 1 contributor.
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Selecting the right embedding model is the most critical architectural decision when building RAG systems for specialized domains like microfinance. By choosing BGE-M3, we ensured our system could handle the multilingual, long-context, and asymmetric nature of field officer notes.
Validating tool calling in LangChain for enterprise microfinance required moving beyond simple prompt engineering. By implementing strict Pydantic schemas, we established a hard boundary for data types. More importantly, by integrating a self-correction loop within LangGraph, we transformed inevitable LLM hallucinations into manageable, auto-correctable events.
The transition from plain LangChain to LangGraph was not just a technical upgrade; it was a fundamental requirement for enterprise fraud detection in microfinance. Plain chains force a linear, rigid path that breaks down when faced with the ambiguity of real-world financial fraud.
Dual-track evaluation for microfinance: Online safety gates & offline policy optimization with LangGraph for safer, sustainable repayment.
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