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For context, this is how I define RAG in the context of IDP: RAG is an advanced AI methodology that enhances the capabilities of large language models (LLMs) by integrating knowledgebases. The creation of vector databases is particularly prominent due to their ability to handle unstructured elements effectively.
Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices.
Additionally, businesses can now deploy OpenText Knowledge Discovery as a fully managed service on Google Cloud, unlocking the power of AI-driven insights across unstructureddata. You can discover what else is possible here. OpenText Cybersecurity Cloud One of our most significant launches in CE 25.2
You need to have your structured data structured in a good place ? Then graph databases, etc, are for your unstructureddata. And the challenge is to connect the structured and the unstructured in a way that makes sense to the organisation. As she has said before, the data, and most of the information already exists. ?Everything
Integrated with Salesforce, this scenario supports knowledgebase article creation and updates with pre-configured event bots, workflows and WebReports. New business scenario: Customer service A new Customer Service business scenario has been added to the Business Process Library. Multiple signature types for DocuSign CE 24.4
An important source of organizational knowledge is either explicit knowledge or tacit knowledge. Explicit knowledge is already classified and is available in a knowledgebase, blog, wiki, etc. Managing this data and content to derive knowledge and actionable insight involves both data management and KM.
RAG operates by dynamically retrieving relevant information from authoritative knowledgebases, such as the MITRE ATT&CK framework, documentation, websites, reports, logs, or any structured or unstructureddata repositories. This ensures that responses are contextually accurate and based on current, validated data.
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