AI Knowledge Management
Hallucination-free enterprise knowledge you can trust
Get precise, accurate answers from your content, or create new content from what you already have. A proprietary agentic RAG approach, trusted by over a million users every day.
Connect every knowledge source you already use
Additional Highlights
Built for hallucination-free enterprise support
Our proprietary agentic RAG approach works with leading model families including Anthropic, OpenAI, Google, and Meta. A single conversation can leverage more than one model, depending on query complexity, with real-time fallback if a model degrades.
Proprietary chunking, auto-tagging, and hallucination-reduction logic sit between your source and the model. This is the layer most off-the-shelf RAG implementations skip, and it is what makes grounding reliable at enterprise scale.
Surface knowledge gaps, conflicting articles, duplicates, stale content, and unhelpful answers based on real user feedback. Prioritize fixes by impact, then draft new articles directly with AI assist.
Inspect any conversation and see exactly which sources and reasoning steps produced the answer. Every response cites its source. Schedule audits against your own rules to verify article quality and freshness.
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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
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FAQs
Frequently Asked Questions are Rezolve.ai and its capabilities
Three layers reduce hallucination risk. Proprietary chunking and auto-tagging improve retrieval quality. A grounding step forces the model to cite the source for every claim. Real-time model fallback swaps in a healthy model if performance degrades. The admin dashboard then flags conflicting and duplicate knowledge so source content 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 are available for any source with a REST API. Trusted external web domains and articles authored inside the product are also supported.
The product is model-agnostic and works with leading model families including Anthropic, OpenAI, Google, and Meta. A single conversation can leverage more than one model, depending on query complexity and routing preferences.
Most customers go live within one to three weeks. The path is three steps: connect knowledge sources, set permissions and sync cadence, then roll out to users. Existing source permissions can be inherited directly, or admins can govern access by user attributes including geo, AD group, language, and title.
Yes. Every answer includes a citation back to the source article or document, so reviewers can verify the answer in a single click. Explainability tools also let admins see the reasoning path the model took to arrive at a given answer.
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Rezolve.ai is an enterprise Agentic AI solution that deploys specialist AI agents for IT and shared services to reduce cost, accelerate resolution, and elevate employee experience.
