morphik core

Morphik uses a ColPali-based vision-language retrieval architecture that retrieves document pages as images and reasons about their visual content, capturing information in figures and structured layouts that OCR-and-chunk pipelines lose.

The system handles the end-to-end document processing pipeline: ingesting PDFs, Word documents, and HTML, generating multi-modal embeddings that represent both textual and visual content, indexing into a vector store optimized for document retrieval, and providing a query API that returns the most relevant document sections with their source locations.

For AI applications built on top of Morphik, this means significantly higher retrieval accuracy on documents where critical information appears in charts, diagrams, financial tables, or visually-formatted layouts.

Morphik Core is open-source under the Apache 2.0 license and designed as the retrieval backend for production AI applications customer support systems querying technical documentation, legal AI tools searching contracts and filings, research assistants working with scientific papers, and enterprise knowledge bases where documents contain rich visual content.

It exposes a REST API and Python SDK for integration into existing AI application stacks and is deployable as a Docker container on standard cloud infrastructure.