Finding the correct information in the ever-increasing volume of data is a daily challenge for companies and their employees. The large amount of unstructured information from, emails, images, videos, or any other type of document makes it particularly difficult to gain an overall view of a given topic. For this reason, we have developed Mindbreeze Insight Services. By using and combining different artificial intelligence methods, Mindbreeze understands, extracts, and links the relevant facts from various information sources and creates summaries to provide your workforce with valuable insights.
Insight Services are the backbone for AI-based information provision (GenAI) with Mindbreeze InSpire.
Fact Extraction Service
Mindbreeze's Fact Extraction Service focuses on the semantic meaning behind the information in your documents. So-called pre-defined models provide the basis for this. This allows key facts to be extracted and linked to already labeled metadata and entities.
With this service, new insights are gained in real time, enabling users to discover factual information and untapped company knowledge.
Classification
Using the Classification Service, Mindbreeze extracts metadata from unstructured texts and uses their semantics to determine the document and content type (whether it be text, image, or video).
The basis for this is an integrated machine learning model that continuously optimizes itself and can be easily adapted to your individual business requirements.
Natural Language Question Answering
Mindbreeze InSpire excels at interpreting user queries in natural language. With access to relevant facts from various data sources and formats, Mindbreeze InSpire leverages Natural Language Question Answering (NLQA) to extract meaningful information and provide actionable insights to users. This AI capability allows employees to receive trustworthy, on-the-spot, question answering, no matter their department or experience level.
Large Language Models
The combination of Mindbreeze InSpire and Large Language Models (LLM) offers a brilliant solution that propels organizations to the next level of knowledge management, revolutionizing how data is understood, accessed, and utilized.
Mindbreeze leaves the selection of the preferred LLM to its customers. The Mindbreeze InSpire insight engine is delivered with pre-trained models. Due to the use of Transformer Models and open standards, models from communities such as Huggingface can be easily used.
Retrieval Augmented Generation
Unlike traditional generative models that generate text based solely on a given prompt or input, RAG models have access to an external knowledge source, such as a pre-trained language model or a specialized knowledge base.
This access enables RAG models to incorporate additional context, facts, or evidence into the generation process, resulting in more coherent, accurate, and relevant outputs.
One example is Mindbreeze InSpire AI Chat which summarizes relevant facts in natural language. Users receive additional context through overlaid source information and, therefore, can understand answers quickly and easily.
Insight App Generation
With the Insight App Designer, you can generate any number of 360-degree views of information, so-called Insight Apps, in no time at all and using no code/low code. Users can choose from various design elements and widgets that can be combined as they wish and the information is only shown to people who are authorized to see it.
By integrating Insight Apps into websites and platforms such as Microsoft Outlook, Microsoft SharePoint and Salesforce, users receive facts directly in the respective applications they are currently using.
Frequently asked questions
AI and LLM capabilities enable Mindbreeze to generate summaries and multilingual translations while respecting compliance boundaries.
Mindbreeze InSpire supports integration with several translation services, enabling users to process and understand content in different languages. Additionally, the Natural Language Processing Service enables the processing and understanding of natural language, facilitating better comprehension of content and company knowledge.
Mindbreeze is fully API-first. Virtually 100 percent of the GenAI capabilities are also exposed through documented, supported APIs. This enables customers and partners to embed Mindbreeze GenAI features directly into their own applications, workflows, and process automations.
Mindbreeze combines classical search with vector-based semantic retrieval and RAG, enabling similarity search and context-aware answers. Rich facets and filters help refine results, while 500+ connectors provide true federated search across cloud and on-prem systems.
Mindbreeze unifies structured and unstructured data, enabling analytics across different data sources.
Mindbreeze fully supports fact-checking LLM workflows by grounding answers in indexed enterprise data, providing explicit source verification and document links.
Additionally, Mindbreeze’s Retrieval-Augmented Generation (RAG) architecture combines semantic search with LLMs through Insight Services, ensuring GenAI answers remain traceable, accurate, and tied to authoritative internal sources.
Mindbreeze's Insight Apps and Insight Services enabling businesses to go beyond mere information gathering and receive insights that inform business decisions.
- Insight Apps: These are no-code/low-code UI builders that enable users to create customized applications for different use cases within the Insight Workplace. With Insight Apps, users can not only retrieve information but also actively engage with it.
- Insight Services utilize various artificial intelligence techniques to understand and connect information, providing a wide range of functionalities that support business operations. Some of the key features of Insight Services include:
- Semantic enrichment and relevance tuning: This involves enhancing and refining search results to improve accuracy and relevance.
- Natural Language Processing (NLP): Insight Services leverage NLP to interpret natural language queries and enrich metadata, enabling more effective information retrieval.
- Conversational interfaces: Insight Services enable the creation of conversational interfaces with Large Language Models (LLMs), allowing users to interact with the system in a more human-like manner.
- Compliance workflows and risk detection: Insight Services automate compliance workflows and detect potential risks, ensuring that businesses stay compliant and mitigate potential issues.
- Integration with external APIs and SDKs: Insight Services integrate seamlessly with ERPs, CRMs, and custom applications, expanding the scope of available data and functionality.
- GenAI enables the generation of accurate summaries and answers from content, interpretation of natural language queries, and automation of compliance workflows and risk detection.
Interested in Mindbreeze InSpire?
Our team will be happy to answer all your questions about Mindbreeze InSpire.