Find
Enterprise search
Ask questions across approved information sources without searching each repository separately.
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Generative AI · Enterprise knowledge
Unlock enterprise
knowledge with AI.
Organizations hold valuable information across documents, applications, databases and repositories. We connect AI to authorized information so people can find, understand and use it in the context of their work.
Delivery framework
From business need to production-ready AI
- Ask a question
- Search authorized sources
- Retrieve relevant evidence
- Generate a grounded response
- Link back to the source
Business-led, with people accountable for decisions and approvals.
Plain-language explanation
RAG gives an AI answer relevant material to work from.
Retrieval-augmented generation, or RAG, first finds useful information in selected enterprise sources. A language model then uses that material to draft a response. Rather than asking a model to rely only on what it learned during training, the application can ground answers in your content and show where information came from.
Connect
Choose the documents, systems and repositories that are in scope, with access aligned to your information policies.
Retrieve
When a user asks a question, find relevant passages from those approved sources.
Respond
Generate a useful answer from the retrieved material, with source context for review.
What enterprise teams can do
Put scattered information to work in context.
Generative AI applications are most useful when they connect a clear user need with relevant, permission-aware information.
Guide
Knowledge assistants
Help employees navigate internal knowledge, procedures and organizational guidance.
Review
Document intelligence
Extract key details, compare documents and summarize lengthy material for review.
Assist
Internal copilots
Support research, drafting, summarization and everyday work inside existing processes.
Enterprise knowledge
Help people find grounded answers from approved sources, with permissions and source context preserved.
Explore knowledge workflowsDocument intelligence
Turn incoming documents into structured information for review and approved downstream processes.
Explore document workflowsPolicy assistants
Research assistants
Contract analysis
Data summarization
Content generation
Trust is part of the architecture
Grounded answers still need thoughtful controls.
Retrieval quality, permissions, source freshness and clear limits all affect what users see. We consider those requirements alongside model selection and user experience.
Design for accountable answers
- Preserve access boundaries from source systems
- Show evidence and source context where appropriate
- Test relevance, accuracy and edge cases
- Handle missing or conflicting information clearly
- Define human review for consequential use
A flexible technical foundation
Select technology to fit your requirements.
Depending on the environment, model options may include OpenAI, Azure OpenAI, Anthropic, Google Gemini or AWS Bedrock. Vector databases and other components are selected based on client requirements, architecture, security and operating constraints.
OpenAIAzure OpenAIAnthropicGoogle GeminiAWS Bedrock
Next step
Make your organizational knowledge easier to use.
Share the sources, users and decisions involved. We can help shape a generative AI application that fits your information environment.
Talk Through a Knowledge Use CaseExplore related capabilities