OpenSearchCon Europe 2026

This talk introduces Docling, an open-source document processing framework, and its integration with OpenSearch for production-ready AI applications. Docling converts complex documents such as PDFs, DOCX, and PPTX into structured, AI-ready formats while preserving layout, tables, images, and metadata for high-quality Retrieval-Augmented Generation (RAG). Docling is supported by the LF AI & Data Foundation.
The session presents practical integration patterns for advanced search applications. We showcase a multimodal RAG architecture built with Docling and OpenSearch. By combining Docling’s document conversion with OpenSearch’s vector and metadata search, we enable visually grounded RAG systems where users can verify AI-generated answers in the source documents. Documents can be indexed by running Docling externally or by invoking Docling within an OpenSearch ingest pipeline using the Docling Java API. We also demonstrate an agentic application using OpenSearch agentic search and Docling MCP for document understanding and information extraction.
Attendees will learn how these integrations simplify document ingestion and enable accurate and explainable AI applications.