Build an AI-Powered Multimodal RAG System with IBM Granite and Docling

  • Languages:English

  • Eligibility:Eligible to registered learners

  • Duration:30 minutes

Multimodal RAG can use multimodal LLMs (MLLM) to process information from multiple types of data to be included as part of the external knowledge base used in RAG. In this lab, you’ll learn to harness the power of advanced tools to build an AI-powered multimodal RAG pipeline.

Start learning
Build an AI-Powered Multimodal RAG System with IBM Granite and Docling

Notice

IBM leverages the services of Credly, a 3rd party data processor authorized by IBM and located in the United States, to assist in the administration of the IBM Digital Badge program. In order to issue you an IBM Digital Badge, your personal information (name, email address, and badge earned) will be shared with Credly. You will receive an email notification from Credly with instructions for claiming the badge. Your personal information is used to issue your badge and for program reporting and operational purposes. IBM may share the personal information collected with IBM subsidiaries and third parties globally. It will be handled in a manner consistent with IBM privacy practices. The IBM Privacy Statement can be viewed here: https://www.ibm.com/privacy/us/en/.

IBM employees can view the IBM Internal Privacy Statement here: https://w3.ibm.com/w3publisher/w3-privacy-notice.

Need support?
Please contact us.