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secutrity

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MakCoder-2004 / Research-paper-Multimodal-RAG

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A local multimodal research workspace that ingests PDFs into searchable text, tables, and figures, then answers questions with citations linked to source pages. The seven-paper MVP uses Docling, LangChain, Gemini, PostgreSQL, Chroma, Redis, FastAPI, and React/TypeScript, with an idempotent ingestion pipeline designed to grow the corpus safely.

python docker caching backend evaluation rate-limiting artificial-intelligence evaluation-metrics backend-api gemini-api multimodal rag fastapi slowapi langchain langsmith langgraph secutrity
  • Updated Oct 6, 2026
  • Python

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