Morphik Core

Morphik Core

Morphik is an open source multi-modal Retrieval-Augmented Generation (RAG) framework designed for developers to build AI applications that can operate over private knowledge bases. It provides a variety of tools for ingesting, searching, transforming, and managing unstructured and multimodal documents.

Key Features:

• Multi-modal Search: Leverage advanced techniques to understand and search over diverse document types, including images, PDFs, and videos.
• Knowledge Graphs: Easily build domain-specific knowledge graphs with minimal code.
• Scalable Metadata Extraction: Efficiently extract relevant metadata to enhance document management.
• Integrations: Seamlessly integrate with popular tools like Google Suite, Slack, and Confluence.
• Cache-Augmented Generation: Speed up document generation by maintaining persistent caches.

Benefits:

• Open Source Freedom: As a fully open source project under the MIT license, developers have the flexibility to customize and extend Morphik according to their needs.
• Free Tier: Get started without any cost with the first 200 pages and 100 queries free, with scalable pricing thereafter.
• Community Support: Engage with a vibrant community for collaboration and support through Discord and GitHub for contributions and feedback.

Morphik empowers developers to create intelligent applications that efficiently process and leverage complex information from private knowledge stores, making it ideal for enterprises looking to harness AI for improved decision-making.