Search across internal policies, standards, and other documents using generative AI

Dolphin AI Knowledge Search

Leverage AI for secure and accurate search across policies without the risk of hallucinations

AI Knowledge Search is a simple and effective solution for organizations that need to quickly find information in policies, standards, and other internal documents. Users submit queries in natural language and receive clear, structured answers supplemented with direct references to the relevant sections of source documents.

Documents are stored in a vector database, where generative AI retrieves relevant content and generates responses strictly based on internal sources. This approach significantly reduces the risk of hallucinations and unsupported answers. Unlike traditional full-text search, the solution works with the meaning of the query rather than just keyword matches, delivering fast, accurate, and verifiable results.

Solution

AI Knowledge Search is an advanced solution designed for efficient work with internal policies, standards, and other documentation. It covers:
  • A centralized document repository in a vector database enabling semantic search;
  • natural language search across policies, standards, and methodologies;
  • context-aware answers generated exclusively from internal documents;
  • citations and direct links to specific sections of source texts;
  • significant reduction of hallucinations through the use of verified internal content;
  • respect for user access rights and organizational security policies;
  • the ability to gradually expand with additional agendas and document sources;
  • an open architecture allowing integration into the existing IT environment and further development according to organizational needs.

Benefits

  • Fast and intuitive search across policies and standards without the need to manually browse documents;
  • greater confidence in decision-making through citations and direct links to specific sections of documents;
  • consistent interpretation of internal rules across the organization;
  • faster onboarding of new employees and reduced dependency on subject-matter experts;
  • time savings for legal, compliance, and other support teams;
  • a solid foundation for the secure use of generative AI on the organization’s internal knowledge base.

How is AI Knowledge Search implemented?

We know how to do it.

1.

Non-binding consultation

We assess your requirements and evaluate how AI Knowledge Search can support your organization. We request sample documents for initial analysis.

2.

Pilot project

Based on the provided documents, we will prepare a pilot project so you can test how the search solution works in practice.

3.

Implementation

We ensure fast and seamless deployment of the search solution into your environment, including integration with the selected UI.

4.

Suport

We provide long-term technical support and ongoing optimization to ensure your solution consistently operates at full performance.

How we helped our clients

For KB, we created a Microsoft Power BI solution for digital transformation and enhanced self-service reporting. Through report migration, we simplified management and increased data analysis efficiency.

Case study

We designed a BI governance and reporting template for VIG Re Power. We developed a regulatory report to facilitate reporting of financial results.

Case study

We created a graphically appealing, interactive Power BI dashboard to publish information on the client's website. We implemented the project from business analysis, through data transformation, to the visualization itself.

Case study

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Do you want to make it easier for users to search your company documents using AI?

Contact us and we will be happy to show and explain how AI Knowledge Search can support your organization.

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