What is Relevance AI?
Relevance AI is a low/no-code platform for building AI agents and coordinating them into what it calls an “AI Workforce.” Teams can create an agent from a description, start with a Marketplace template, or build one with custom tools. Its visual builder connects agents into workflows with handoffs, conditions and human approvals.
For example, a sales team could run a workflow when a new lead arrives: one agent researches the company, another prepares outreach, and a salesperson reviews the draft. Relevance AI also supports customer support, internal operations and analysis. Agents can use selected knowledge sources, connect to business apps, run Python code and respond to schedules or app events.
Admins can share agents across the company. Knowledge connected to those agents does not inherit each employee’s permissions from the original apps, so teams configure knowledge and access for their rollout. Relevance AI offers per-user authentication for supported app tools on Enterprise plans.
Sources: platform overview, Workforce builder, knowledge setup, RBAC, per-user authentication.
What is Omni?
Omni is an open-source AI agent for company-wide work. It connects to workplace tools such as Google Workspace, Slack, Jira and Confluence, and keeps their information in a shared, searchable index. Employees can ask questions across those sources and follow citations back to the original material.
Omni inherits permissions from the connected apps. If an employee cannot access a private document in Google Drive, Omni excludes it from that employee’s search results and the agent’s answers. This matters when one agent serves the whole company: people can search across teams and tools while their existing access rules still apply.
Omni can also run code in an isolated sandbox, analyze data and create reports, spreadsheets and presentations. Developers can extend it with custom connectors and MCP tools. Its core is open source, and organizations can self-host it or use managed Omni Cloud.
Sources: Omni overview, access control, connectors, architecture, deployment options.
Which one makes sense for your team?
Permission inheritance is an important consideration for a company-wide knowledge rollout. Choose Omni if employees need one agent that answers questions across company tools while respecting their existing access. Omni keeps connected content and permissions in a shared index, so an employee can ask about a project spanning Drive, Slack and Jira and receive links to sources they’re allowed to see.
Omni also fits teams that want to own and customize their agent. Its Apache 2.0 open-source core can be self-hosted and modified. Developers can build syncing connectors, add MCP tools and choose their models. PostgreSQL provides a familiar foundation for its search and indexing system. Self-hosting gives your team control over the deployment and responsibility for operating it.
Choose Relevance AI when your priority is building a defined workflow on a managed platform. Its visual builder, templates, app-event triggers and ready-made actions help teams automate jobs such as researching a lead, updating a CRM and routing outreach for approval. Admins can share those agents with employees and configure the knowledge they use.
Sources: Omni access control, architecture, connector SDK; Relevance AI overview, Workforce builder.
Feature comparison: knowledge, integrations and governance
Product details checked September 29, 2026.
Company knowledge and context
Omni keeps a shared index of connected workplace sources. Connectors sync content and permissions, and Omni applies those permissions whenever an employee or the agent searches. An answer can draw on a document, a conversation and a ticket, with citations that let the employee check the sources. Connectors update the index as content changes; some, including Slack, support near-real-time updates. Omni access control · connectors · Slack sync
Relevance AI has genuine knowledge-search capabilities. Its knowledge bases support hybrid keyword-and-vector search, optional reranking and citations, and a knowledge base can serve multiple agents. Builders connect sources and choose the files, folders or pages available as knowledge. Admins can share the resulting agents across a company. The synced knowledge does not inherit each employee’s permissions from the original apps; Relevance AI manages access to agents and knowledge assets within its platform. Knowledge overview · Advanced Knowledge Search · RBAC
Omni reports 68.07 overall on 500 synthetic workplace questions, you can read more about it here: EnterpriseRAG-Bench write-up. We discuss methodology and scoring qualifications in the post.
Verdict: Both products can retrieve and cite knowledge. Omni has the more direct setup for one employee-facing agent across company sources and existing access rules. Relevance AI gives teams searchable knowledge they can configure for their agents.
Integrations and where agents live
Omni documents connectors for Google Workspace, Microsoft 365, Slack, Jira and Confluence, GitHub, HubSpot and other sources. Its SDKs let developers build connectors that sync additional information into the shared index; connectors can also expose actions and MCP tools. Employees ask questions and work with the agent in Omni’s chat interface. Connector list · connector SDK
Relevance AI documents 2,000+ app connections through native integrations and Pipedream, with tools that let agents read and act in connected services. App events can start agents or multi-agent Workforces. People can use agents in Relevance Chat, trigger them and receive replies in Slack, embed an agent chat widget on a website, or call an agent through an API or SDK. Integrations · Slack integration · agent sharing
Verdict: Relevance AI offers more ready-made actions, event triggers and ways to put a task-specific agent in front of users. Omni’s connectors are designed to make workplace information available to its agent through one searchable, permission-aware context layer.
Relevance AI for enterprise: governance, security and deployment
Omni can run on an organization’s own infrastructure. Its security team controls that deployment, and its developers can inspect and change the open-source core. Source permissions are synced with indexed documents and checked during search. Teams can also choose managed Omni Cloud (coming soon). Enterprise capabilities such as SCIM and audit logs require a paid plan; self-hosting brings responsibility for operating and maintaining the system. Omni architecture · access control · deployment options
Relevance AI is a managed service. The company states that it is SOC 2 Type II compliant and offers a choice of US, London or Sydney data regions. Its Enterprise controls include SSO, role-based access controls and audit-event streaming. Enterprise per-user authentication lets supported OAuth-based app tools use each employee’s own account, after that employee connects it. Relevance AI says this feature is rolling out and is unavailable in embedded chat widgets. Security overview · RBAC · audit streaming · per-user authentication
Verdict: Omni gives teams control over the underlying software and a built-in way to enforce source permissions across indexed knowledge. Relevance AI gives teams a managed platform with substantial enterprise controls. Buyers evaluating it as a company-wide knowledge assistant should account for how they will configure source access for every employee.
Relevance AI pricing vs Omni: what’s actually knowable
How much do Omni and Relevance AI cost?
As of October 2, 2026, Relevance AI’s main pricing page presents an Enterprise plan with custom pricing. Its pricing documentation also lists Pro at $19/month billed annually or $29 monthly and Team at $234/month billed annually or $349 monthly. The documentation says the Free plan has been retired for both new and existing accounts.
Relevance AI plans include allowances for Actions and Vendor Credits. An Action is counted each time an agent runs a tool, including a failed run. Vendor Credits cover model and tool usage. Paid customers can buy more of either; bringing your own model API key can bypass Vendor Credits, while tool runs still consume Actions. The published top-up rates are $80 per 1,000 Actions and $20 per 10,000 Vendor Credits. Plans and credits
Omni’s open-source community edition is free to self-host and try out. For enterprise features such as SSO/SCIM, pricing starts at $10/user/month billed annually. Check out our pricing page. Community has no software-license fee; running it still incurs infrastructure and model costs. Business can be used with a self-hosted enterprise license or managed Omni Cloud.
When Relevance AI is the better choice
Choose Relevance AI when your team has a specific process to automate and wants to launch it on a managed platform. A sales team can start with a Marketplace agent, connect its CRM and email tools, and trigger work when a new lead arrives. Support and operations teams can build similar workflows with a visual canvas, specialist agents, handoffs and approval steps. Relevance AI also offers phone agents, website chat embeds and app-event triggers that may matter more to your team than a company-wide knowledge index.
Sources: platform overview, Marketplace, Workforce builder, agent sharing.
When Omni fits better
Choose Omni when employees need one agent that can answer questions across company tools while inheriting each person’s access permissions. Its shared index suits knowledge spread across documents, conversations and tickets. Omni also fits organizations that require an open-source core, want to self-host, or have engineers who plan to modify the agent and build syncing connectors for internal systems.
The Community edition has no software-license fee, and Business has a published per-user price. Those costs may be easier to plan than Relevance AI’s per-Action allowances for some workloads, though Omni still incurs infrastructure and model costs. Omni’s background agents can run on schedules; teams needing agents triggered directly by app events should weigh Relevance AI’s stronger support there.
Sources: Omni access control, connector SDK, background agents, pricing; Relevance AI billing.
Looking for an open-source Relevance AI alternative?
Omni’s core is open source under Apache 2.0. You can self-host it, inspect and change the code, build connectors for your own systems, and give employees an agent that searches company knowledge with their existing permissions. It’s a strong fit when control over the agent and its data matters. Relevance AI remains the better fit for teams that need its visual multi-agent workflows and app-event triggers.
Explore the open-source AI agent guide or see Omni on GitHub.
Looking at other options? See Relevance AI alternatives.
FAQs
Does Relevance AI inherit permissions from connected documents?
Relevance AI lets teams control who can use its agents and knowledge bases. Its knowledge integrations do not carry each employee’s original document permissions into a company-wide search index. On Enterprise, supported app tools can use an employee’s own OAuth account after that employee connects it. Omni filters indexed search results using permissions synced from the original sources.
Relevance AI RBAC· per-user authentication· Omni access control
Can an admin set up Relevance AI for the whole company?
An admin can build an agent and share it with employees across the organization. Builders configure the knowledge and app access that agent uses. Relevance AI does not provide the same documented, one-time setup for syncing company knowledge across connected apps with each employee’s source permissions inherited.
Does Relevance AI have a searchable knowledge base?
Yes. Its knowledge bases support hybrid keyword-and-vector search, reranking and citations. Multiple agents can use the same knowledge base. Builders add content from files, websites and connected sources.
Where does Relevance AI have the advantage?
Relevance AI offers a visual builder for multi-agent workflows, app-event triggers, website chat embeds, and phone and meeting agents. Those features give teams more ready-made ways to automate a specific process and deliver an agent where people work.
Where does Omni have the advantage?
Omni gives employees one searchable index across connected company sources and inherits permissions from the original apps. Its open-source core can be self-hosted and modified, and developers can build connectors that add company systems to that shared index. Those capabilities matter most for company-wide knowledge work and teams that want to own their agent.
Is Relevance AI open source?
Relevance AI is a managed platform. It publishes an SDK, but does not provide its agent platform as open-source, self-hostable software. Omni’s core is open source under Apache 2.0. See Omni on GitHub and the open-source AI agent guide.
Omni on GitHub· open-source AI agent guide· Relevance AI platform description
How much does Relevance AI cost?
As of October 2, 2026, its main pricing page directs Enterprise buyers to sales. Its pricing documentation also lists Pro at $19/month billed annually or $29 monthly, and Team at $234/month billed annually or $349 monthly. The documentation says its Free plan has been retired. Plans include allowances for Actions and Vendor Credits.
Is Omni free?
Omni’s self-hosted Community edition has no software-license fee. You pay for the infrastructure and models you use. Published pricing lists Business at $10/user/month billed annually, with custom Enterprise pricing.