Spring AI DocumentReader integration for Kreuzberg document extraction engine
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Updated
Jul 2, 2026 - Java
Spring AI DocumentReader integration for Kreuzberg document extraction engine
POC of an AI assistant for digital protocol systems. Uses Model Context Protocol (MCP), Spring Boot, Spring AI, LiteParse gRPC, and local LLMs powered by llama.cpp and Qwen to analyze administrative documents, extract relevant information, and generate structured protocol registration suggestions for human validation.
A local, secure, and visual RAG (Retrieval-Augmented Generation) assistant built with Spring Boot 3 (Spring AI), React (Vite), and Qdrant. Runs entirely offline via Ollama to extract text and embedded screenshots/images from documents with strict anti-hallucination guards.
A production-ready, multi-tenant document intelligence platform with a RAG pipeline utilizing Spring Boot, pgvector, and GCP Vertex AI.
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