Hallucination-free knowledge AI, deployed in weeks
Rezolve.ai's Knowledge Management grounds every AI answer in enterprise content through a proprietary agentic RAG approach. Accurate, explainable, citation-backed responses across every internal source. Deploy in one to three weeks.
Watch: How every source connects to a single grounded answer
From connected sources to grounded answers
Connect every enterprise knowledge source
Seven standard integrations cover SharePoint, Confluence, ServiceNow Knowledge, Azure DevOps Wiki, Google Drive, IT Glue, and OneDrive. Custom REST integrations extend coverage further, and trusted external domains serve as a secondary layer when internal content does not cover the topic.
Ground every answer in proprietary processing
Proprietary chunking, auto-tagging, and hallucination-reduction logic sit between the source and the model. This is the layer most off-the-shelf RAG implementations skip, and the layer that makes enterprise-grade grounding reliable at scale.
Route across multiple models in one conversation
A single conversation can leverage more than one model. Routine retrieval runs on a lightweight model. Complex reasoning escalates to a stronger one. Users experience one continuous conversation.
Stay model-agnostic across every leading provider
The platform is model-agnostic by design and works with Anthropic, OpenAI, Google, and Meta. Enterprise teams pick the model that fits their data residency, accuracy, and cost requirements, and switch providers without rebuilding the knowledge layer.
Fail over to a healthy model in real time
When a model degrades or times out, traffic routes to a healthy alternate without interrupting the conversation. End users see no outage. Admins see the event captured in the observability dashboard with full context.
Govern knowledge access by user attribute
Permissions inherit from the source system or follow rules defined inside the platform. Access can be scoped by geography, Active Directory group, language, and title. Sync intervals range from minutes to hourly.
Audit, explain, and improve every answer
Knowledge dashboards surface gaps, conflicting articles, duplicates, and stale content from real user feedback. Explainability tools expose the retrieval and reasoning path behind every response. Scheduled audits enforce quality before issues reach an end user.
Three key differentiators
Retrieval-augmented generation grounds AI in enterprise content. Generic implementations retrieve, generate, and trust the model to stay close to the source. Rezolve.ai adds a proprietary grounding layer that maps every claim to a cited source. Reviewers verify in a single click instead of trusting a confident paragraph.
Explainability is the ability to inspect how a model reached a given answer. Without it, agentic AI becomes a governance risk. Rezolve.ai exposes retrieval steps, ranked sources, and the reasoning path inside an admin panel. Every conversation is replayable, and every audit trail is one click away.
Enterprise knowledge bases decay quietly. Articles go stale, duplicates accumulate, and conflicts surface only when a user gets a wrong answer. Rezolve.ai turns every interaction into a signal, surfaces issues in the dashboard, and drafts new articles before the same question is asked twice.
Enterprise-grade security & privacy
Built from the ground up to meet the highest global standards.
See why our customers love us
"It [Rezolve.ai] is very easy to use. Now employees can submit a ticket, can get ticket status, and ask questions. Management is also very happy about the approvals with within MS Teams"
Tan Nguyen
"Rezolve.ai has really shown their knowledge in this industry with the way they have worked through the unknowns of implementation."
Lane Terry
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"One of the things that lead us to Rezolve.ai was seamless integration with MS Teams. We moved away from the old format. Our users can now open tickets with just one icon click"
Team Management
"The Rezolve team is very responsive and thorough with collecting requirements and going through user journeys to ensure the solution they provide is what we need"
Teri Carlson
Awards & recognitions
SPRING 2025
FAQs
AI knowledge management connects an enterprise's internal and external knowledge to AI systems, so employees receive accurate, grounded, and explainable answers. It combines source integration, retrieval-augmented generation, citations, and feedback loops to keep content quality high over time. Rezolve.ai delivers AI knowledge management through a proprietary agentic RAG approach.
Three layers reduce hallucination risk. Proprietary chunking and auto-tagging improve retrieval quality. A grounding step forces the model to cite a source for every claim. Real-time fallback swaps in a healthy model if performance degrades. The dashboard also surfaces conflicting and duplicate content, so the underlying source data stays clean.
Seven standard integrations are available out of the box: SharePoint, Confluence, ServiceNow Knowledge, Azure DevOps Wiki, Google Drive, IT Glue, and OneDrive. Custom integrations cover any source with a REST API. Trusted external web domains and articles authored directly inside the product are also supported.
Yes. The platform is model-agnostic and works with leading LLM families including Anthropic, OpenAI, Google, and Meta. A single conversation can leverage more than one model based on query complexity. Real-time fallback activates if a model degrades, so end users do not see an outage.
Yes. Every answer includes a citation back to the source article or document, so reviewers can verify in a single click. Explainability tools also let admins inspect the reasoning path the model took to reach the answer.
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