Top Onyx AI alternatives for enterprise knowledge search (2026)
Davis Christenhuis
Onyx AI is an open-source enterprise search platform with strong RAG capabilities and self-hosting options. But depending on your infrastructure requirements, budget, and how you need AI to work across your organization, a different option may be a better fit. This guide covers three enterprise search alternatives and one option for teams that need AI agents.
📌 TL;DR
Want to skip ahead? Here's the summary:
- GoSearch: Enterprise search with 100+ connectors and real-time personal data retrieval without duplicating sensitive information.
- Needle: Knowledge management platform with AI-powered workflow creation for building custom automation on top of searchable knowledge bases.
- Guru: Knowledge management with built-in verification workflows to keep company knowledge accurate and up to date.
If your team needs AI that goes beyond search:
- Dust: Enterprise AI agent platform where agents both search company knowledge and take action across business tools like updating CRMs, creating tickets, and running workflows.
What is Onyx AI?
Onyx AI is an open-source AI platform that connects to company data sources and uses agentic RAG, deep research, code execution, and web search to answer questions, generate reports, and assist with complex tasks. It supports custom agents with configurable instructions, knowledge sources, and external actions via MCP, and uses permission-aware search to surface relevant information based on what each user has access to. The platform is accessible via web, desktop app, Chrome extension, Slackbot, and MCP Server.
The Community Edition is MIT-licensed, meaning teams can self-host with full code visibility, bring their own LLM, and customize the core system. Enterprise features such as advanced permissions, white-labeling, and dedicated support are covered under a separate Onyx Enterprise License. Teams can deploy on their own infrastructure or use a managed cloud option for faster setup.
Why teams look for Onyx AI alternatives
Onyx AI is a strong platform for specific use cases, but several gaps send teams looking elsewhere:
- Self-hosting requires dedicated engineering resources: While self-hosting gives full control, it means your team manages deployment, updates, scaling, and maintenance. For teams without air-gapped compliance requirements, that overhead outweighs the benefits.
- Write-back capabilities require engineering effort: Onyx AI's connectors index and search data from your tools. While the platform now supports Actions via OpenAPI specs and MCP (Model Context Protocol), configuring write-back to external tools requires engineering work for each integration rather than out-of-the-box write actions.
- Self-hosted setup requires technical involvement: Onyx’s chat interface is easy for anyone to use, but setting it up, connecting data sources, and managing permissions usually requires help from a developer or IT team, especially in self-hosted environments. The managed cloud option makes this easier.
💡 Want AI that works across your entire company? Discover Dust →
Top Onyx AI alternatives
1. GoSearch
GoSearch is an enterprise search platform, designed to give teams AI-powered search across all their business applications. The platform combines indexed workspace data with real-time personal data retrieval, giving employees permission-aware results without duplicating sensitive information.
Key features
- 100+ app connectors: Integrates with business tools across categories including Google Workspace, Microsoft 365, Slack, Salesforce, Notion, Confluence, and Jira with continuous indexing
- Real-time personal data retrieval: Search private files, emails, and chats without indexing them in GoSearch's system, reducing security risk for sensitive data
- Bring your own cloud (BYOC): Deploy GoSearch using your own AWS, Azure, or Google Cloud environment with your LLM API keys for full control
Pros
- Teams get up and running without IT setting up infrastructure or managing vector databases
- Non-indexed retrieval option addresses compliance concerns about duplicating sensitive data
Cons
- Less customization than self-hosted open-source platforms for teams that want granular control
- Pricing can be higher than open-source alternatives at scale
Pricing: Free plan with limited searches and AI queries. Pro plan at $20/user/month. Enterprise plan with custom pricing for advanced security and deployment options.
Best for: Teams that want enterprise search with managed infrastructure and real-time retrieval of personal data without self-hosting.
2. Needle
Needle is a knowledge management platform that adds workflow automation on top of RAG-powered search. Instead of just retrieving information, teams can describe and build AI-powered workflows that process data, query knowledge bases, and execute multi-step tasks.
Key features
- Knowledge Collections with semantic search: Upload documents and connect data sources to create searchable knowledge bases that AI workflows can query
- AI-powered workflow builder: Describe workflows in natural language and let Needle's AI build the automation for you, combining knowledge retrieval, data processing, and integrations
- Workflow templates: Pre-built templates for common use cases like research automation, lead generation, and content summarization
- Web widget: Drop-in solution to add a custom AI agent powered by your knowledge collection to your website
Pros
- Workflow automation capabilities extend beyond search to include data processing and multi-step AI tasks
- Generous free tier with 1,000 workflow credits and no time limit
- SOC 2 compliant with AES 256 encryption
Cons
- Natural language workflow creation, while powerful, requires clear prompt articulation for complex multi-step automations
- Credit-based pricing can be unpredictable for high-volume workflows
Pricing: Free plan with 1,000 workflow credits. Pro plan at $15/month (billed annually). Enterprise plan with custom pricing.
Best for: Teams that need knowledge management combined with AI workflow automation and are comfortable using natural language to build and iterate on workflows.
3. Guru
Guru is a knowledge management platform with AI-powered search, chat, and content verification workflows. Teams get AI search and chat alongside systematic workflows for content ownership, content verification intervals, and automated review prompts.
Key features
- AI Knowledge Agents: Build role-specific AI agents that use verified company knowledge to answer questions and assist with tasks
- Verification workflows: Automated prompts to owners when content needs review, with configurable verification intervals
- 100+ integrations: Connect to tools including Slack, Salesforce, Google Drive, Confluence, Zendesk, and Notion
- Permission-aware search: Respects source-level permissions so users only see content they have access to
Pros
- Verification system addresses the accuracy problem that unmanaged knowledge bases face over time
- Browser extension brings knowledge directly into the tools teams already use
Cons
- Requires active content curation and ownership assignment to maintain quality
- Enterprise pricing model may be too high for small teams or startups
Pricing: Custom enterprise pricing. All plans include the platform, implementation support, and ongoing strategy advisory.
Best for: Teams that need structured knowledge management with AI capabilities and are willing to invest in content verification workflows.
The gap enterprise search tools don't cover
Enterprise search platforms help teams find information faster across fragmented systems. They index documents, conversations, and data, then use AI to surface relevant answers. Some platforms extend this with workflow automation or agentic task execution. But most still require teams to switch between tools for complex multi-step operations across different business systems.
When a team wants AI to understand company context, work across data sources, and take action in business tools without needing custom integrations for every workflow, they need a different kind of platform, one built for end-to-end action. That’s where a platform like Dust comes in.
Dust: Enterprise AI agent platform
Dust is an AI platform designed to deploy, orchestrate, and govern specialized AI agents across your organization. Instead of just searching for information, Dust agents can read company data, reason about it, and take actions across your business tools.
Key features
- No-code agent builder: Create AI agents using natural language instructions, then connect data sources and select models through a guided configuration interface
- Actions across 50+ integrations: Agents can manage tickets in Zendesk, post messages in Slack, update documents in Notion, and more
- Spaces for permission-aware access: Admins define which data sources each team can access through Spaces, so agents only query and act on information users have permission to see
- Enterprise security: SOC 2 Type II certified, GDPR compliant, and enables HIPAA compliance
- Triggers and automation: Agents can run automatically based on events, schedules, or webhooks when needed, not just when someone asks a question
- Multi-model support: Use models from OpenAI, Anthropic, Google, Mistral, or other providers, and swap models per agent as newer ones become available
Pros
- Agents deploy where teams already work
- Non-technical teams can build and iterate on knowledge-based agents without developer support, using natural language instructions and guided configuration
- Enterprise compliance and governance built in rather than requiring custom implementation
Cons
- Cloud-only platform with no self-hosting option for teams requiring air-gapped deployment
Pricing: Pro plan starts at $29/user/month. Enterprise plan with custom pricing for organizations with advanced governance requirements.
Best for: Organizations deploying AI across multiple departments that need agents to both understand company knowledge and take action across business tools.
💡 Curious to see how it works? Try Dust free for 14 days →
Which teams use Dust
Dust is built for cross-functional deployment across organizations. Here's how different departments typically use it:
- Sales: Agents pull CRM data, research prospects, draft personalized outreach, and update deal records automatically
- Customer Support: Agents search across knowledge bases, past tickets, and Slack to resolve customer questions faster
- Marketing & Content: Agents research topics, generate content briefs, analyze campaign performance, and pull data from multiple sources
💡 Interested in how real companies use Dust? Read the customer stories →
Feature comparison table
Feature | Onyx AI | GoSearch | Needle | Guru | Dust |
Managed cloud | ✅ | ✅ | ✅ | ✅ | ✅ |
No-code setup | ⚠️ | ✅ | ✅ | ✅ | ✅ |
Write-back / actions | ⚠️ | ⚠️ | ⚠️ | ❌ | ✅ |
Triggers & automation | ❌ | ✅ | ✅ | ❌ | ✅ |
Multi-department deployment | ✅ | ⚠️ | ⚠️ | ⚠️ | ✅ |
Developer API | ⚠️ | ❌ | ❌ | ❌ | ✅ |
Enterprise security | ✅ | ✅ | ✅ | ✅ | ✅ |
Open source | ✅ | ❌ | ❌ | ❌ | ❌ |
Frequently asked questions (FAQs)
What's the difference between Onyx AI and Dust?
Onyx AI is an open-source AI platform that uses RAG to answer questions based on company data. While its indexing connectors are read-only, Onyx supports write-back actions via OpenAPI specs and MCP server connections, though each requires engineering configuration. Dust is an AI agent platform where agents can both search company data and take action across business tools with out-of-the-box write-back integrations, no-code configuration, and automated triggers.
Does Onyx AI have a fully managed cloud option?
Yes. Onyx AI offers a managed cloud tier at $20/user/month with all core features. Enterprise customers can also deploy on-premise with white-labeling and dedicated support at custom pricing.
Is Onyx AI free to use?
Yes, the self-hosted Community Edition is free under an MIT license with unlimited users and core features including chat, RAG, agents, and actions. Enterprise features such as SSO (OIDC/SAML), white-labeling, and dedicated support require an Enterprise plan. Teams that self-host manage their own infrastructure, updates, and scaling. The managed cloud tier starts at $20/user/month for teams that want Onyx to handle hosting and maintenance.