SUMMARY AI要約 by gpt-5-mini
LoanDoc AI is a production-ready RAG (retrieval-augmented generation) Q&A system for loan documents. It ingests PDFs/DOCX, indexes text into a local Chroma vector DB, and answers natural-language queries with cited source snippets. Who uses it: engineering teams, data scientists, or operations/legal groups needing searchable Q&A over loan paperwork. Key features: - Frontend: React + TypeScript; Backend: FastAPI + LangChain - Ingest: pypdf/python-docx → RecursiveCharacterTextSplitter (1,000 chars, 200 overlap) - Embeddings: OpenAI text-embedding-3-small; store in local Chroma - Retrieval: embed query → top-5 chunks; primary LLM: Anthropic Claude Sonnet; fallback: OpenAI GPT-4o - Configurable via backend/.env (chunk size, overlap, retrieval K, models) - Simple local dev (no Docker), tests mock LLMs and use temporary Chroma DB - Exposed API: upload, list, delete, query, health; responses include model_used and citations.
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オーナー情報
AI Full-Stack Engineer | React • FastAPI • GenAI Building scalable apps with modern UI and intelligent AI systems.
日付
| GitHub作成日 | 2026-05-14 |
| 最終Push | 2026-05-14 |
| 当サイト初検出 | 2026-05-14 |
| 最終取得 | 2026-05-14 16:11 |
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