Morphik-core: Open-source AI tool for private knowledge apps

Morphik Core introduces an open-source alternative to traditional Retrieval-Augmented Generation (RAG) systems, specifically designed for complex technical and visual document processing. This multimodal platform enables developers to overcome limitations in traditional text-only systems by offering comprehensive tools that understand both visual and textual content—filling a critical gap for organizations dealing with technical documentation containing diagrams, schematics, and other visual elements.

The big picture: Morphik provides an integrated solution for processing multimodal documents through a combination of visual understanding technology and knowledge graph capabilities.

• The platform can process diverse document types including images, PDFs, and videos through a unified endpoint, eliminating the need for separate systems for different content types.
• Its open-source nature (with MIT licensing for core functionality) allows developers to implement advanced document understanding without proprietary constraints.

Key features: The system offers several capabilities beyond standard RAG approaches, focusing on visual content understanding and metadata extraction.

• It employs ColPali techniques for visual content comprehension, enabling users to query information contained within images and diagrams.
• The platform can automatically generate domain-specific knowledge graphs with minimal coding, using either pre-built system prompts or custom configurations.
• Morphik includes fast metadata extraction capabilities for documents, identifying elements like bounding boxes, classifications, and labels.

Integration capabilities: The platform is designed to work within existing enterprise ecosystems rather than requiring complete infrastructure changes.

• It offers connections to productivity tools like Google Suite, Slack, and Confluence, allowing organizations to enhance their current document systems.
• The system includes cache-augmented generation to create persistent key-value caches of documents, significantly improving response time for repeated queries.

Deployment options: Users can access Morphik through either cloud-based or self-hosted implementations depending on their requirements.

• A free tier is available through the cloud service, offering 200 pages and 100 queries at no cost.
• Self-hosting options exist for organizations with specific security or compliance requirements, though with limited support.

Implementation approach: Getting started with Morphik involves minimal code, with a Python SDK that simplifies document processing and querying.

• The example code shows that developers can ingest complex files and query specific technical details (like dimensions of components in assembly instructions) with just a few lines of code.
• While core functionality is open-source, certain enterprise features in the “ee” namespace operate under different licensing terms.