Audience
Engineers and researchers who need a tool to extract and analyze information from complex, multimodal documents
About Morphik
Morphik is an open source, multimodal Retrieval-Augmented Generation (RAG) platform designed to streamline AI applications over complex, visually rich documents. Unlike traditional RAG systems that falter with non-textual data, Morphik embeds entire pages, including diagrams, tables, and images, directly into its knowledge base, ensuring no context is lost during processing. This approach enables precise search and retrieval across diverse document types such as research papers, technical manuals, and scanned PDFs. Morphik's capabilities include visual-first retrieval, knowledge graph construction, and seamless integration with enterprise data sources through its REST API and SDKs. Its natural language rules engine allows users to define how data is ingested and queried, while persistent KV-caching optimizes performance by reducing redundant computations. Morphik supports the Model Context Protocol (MCP), facilitating direct access for AI assistants.