Morphik Core is an open source multimodal database platform designed for AI applications, with core functionality centered around the following key technologies:
- Multimodal data processing: Supports unified processing of text, PDF, images, video and other formats.
- Retrieval Augmentation Generation (RAG): Combined with ColPali multimodal embedding technology, text and image content can be retrieved simultaneously.
- knowledge graph construction: Automatically extract entity relationships for semanticized retrieval.
- Intelligent Parsing System: Have automated processing capabilities such as document chunking, embedding generation, and metadata extraction.
- Efficient caching mechanism: Computational cost can be reduced by 80% through preprocessing, and response speed can be increased to the second level.
As a developer tool, it also provides Python SDK, extensible architecture and MCP protocol support, which is especially suitable for AI application scenarios that need to handle massive multi-source data (millions of documents).
This answer comes from the articleMorphik Core: an open source RAG platform for processing multimodal dataThe
May not be reproduced without permission:AI productivity tools " What are the core features of Morphik Core?
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