- Enterprise search tools at a glance
- Ten enterprise search tools for company knowledge
- Search and AI assistants have become the same purchase
- Workplace search, search platforms and knowledge layers
- The questions that decide an enterprise search pilot
- My plain advice on enterprise search software
- Frequently asked questions
Enterprise search software lets employees search across company apps, documents and knowledge from one place, with access permissions respected, and most products now add an AI assistant that answers questions directly. The first decision is a ready-made workplace tool or a platform your developers build on. Ten tools follow in no particular order.
Ask anyone in a large company where the latest version of a policy lives and you'll get three different answers. Enterprise search exists to end that hunt: one search box across the wiki, the drive, the chat tool and the ticketing system, showing only what each person is allowed to see.
The ten tools below are listed alphabetically and in no particular order, and every description comes from each vendor's own website, read as of Oct 2026. If your team plans to build retrieval for AI apps from parts, my guide to RAG tools covers the builder side.
Enterprise search tools at a glance
I checked the free plan column on each vendor's own website, as of Oct 2026. Yes means the page names a free plan, a free version or an open source edition. Trial only means the page names a time-limited free trial. Not stated means the page I read named neither, so check the vendor's own site before you sign up.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Coveo | AI search platform | Generative search for websites, support and commerce | Trial only |
| Elastic | Search platform | Search database for apps, agents and vectors | Trial only |
| Glean | Workplace search and agents | Company-wide answers across 250+ connectors | Not stated |
| Guru | Knowledge layer | Verified company knowledge for people and AI | Not stated |
| Lucidworks | Enterprise search | AI search, signals and Q&A agents | Not stated |
| Mindbreeze InSpire | Enterprise search | Pre-built AI agents over company knowledge | Not stated |
| Moveworks | AI assistant platform | Workforce assistant that searches and acts | Not stated |
| Onyx | Open source enterprise search | Searching all connected sources in parallel | Not stated |
| Sinequa | Enterprise search (ChapsVision) | Enterprise agentic AI built on search | Not stated |
| Vectara | RAG platform | Managed agents with grounded, trusted answers | Not stated |
Ten enterprise search tools for company knowledge
Coveo
Best for: Companies wanting one AI relevance platform behind generative search on the website, in ecommerce, in customer service and in their own AI agents.
Elastic
Best for: Engineering teams building their own search, with one search database behind every experience, vector search and context for AI agents.
Glean
Best for: Large organisations grounding an assistant and agents in company context, with more than 250 connectors to the apps people already use.
Guru
Best for: Teams whose problem is trust, with a knowledge layer that structures, governs and verifies company information for every AI tool and person.
Lucidworks
Best for: Digital experience teams wanting AI-powered search that understands intent, with neural hybrid search, signals and conversational Q&A agents.
Mindbreeze InSpire
Best for: Organisations wanting pre-built, governed AI agents that follow validated content and templates, so every employee can answer like an expert.
Moveworks
Best for: Employee service teams, especially ServiceNow customers, wanting one AI assistant that searches and acts across business applications.
Onyx
Best for: Engineering-heavy teams wanting answers drawn from GitHub, Drive, Slack and Confluence at once, with permissions enforced on every result.
Sinequa
Best for: Large organisations wanting enterprise agentic AI from a search specialist that now trades under the ChapsVision name.
Vectara
Best for: Engineering and support teams in sectors such as semiconductors and telecoms wanting managed agents grounded in company data, with on-prem options.
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Search and AI assistants have become the same purchase
Here's the change that matters most if you last looked at this category a few years ago. Nearly every vendor now leads with agents rather than search. Glean's page title reads Enterprise AI that Works, Moveworks calls itself an AI assistant platform, and Mindbreeze and Sinequa both lead with agentic AI.
The upside is that search now answers questions instead of listing documents. The downside is that it's harder to compare like with like. Ask every vendor to show plain search first, then the assistant, on your own content.
Workplace search, search platforms and knowledge layers
- Workplace search. Ready-made connectors to the apps your staff use, with permissions respected and an assistant on top.
- Search platforms. Building blocks for your developers to create custom search inside your own apps and sites.
- Knowledge layers. Tools focused on keeping the content itself accurate and verified, so the answers people get are right.
The questions that decide an enterprise search pilot
- Permissions. Does every answer respect who's allowed to see the source document?
- Connectors. Does it reach the systems that hold your knowledge, not just the popular ones?
- Freshness. How quickly do new and changed documents show up in results?
- Citations. Are answers linked back to sources people can check?
- Content trust. What happens when the source is out of date? Some tools here focus on verifying knowledge, not just finding it.
- Ownership. Two vendors here now carry a bigger company's name, so ask about the roadmap.
Do you make enterprise search software? Tool makers can ask to be considered for a featured place on this list.
My plain advice on enterprise search software
Run a pilot on one department's real questions, not a demo dataset. Choose workplace search if you want answers across existing apps quickly, and a search platform if developers are building search into your own product. Whichever you pick, test permissions on day one, because an assistant that shows people documents they shouldn't see is worse than no assistant at all.
If you'd rather build an assistant of your own on top of search, my roundup of AI agent builders is a good next read.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
What is enterprise search software?
It's software that lets employees search across company apps and documents from one place, with access permissions respected. Most products now add an AI assistant that answers questions directly.
What's the difference between enterprise search and RAG?
Enterprise search is usually a finished product for staff. RAG is a technique developers use to ground AI answers in retrieved documents.
Does enterprise search respect document permissions?
It should. Ask each vendor to prove it in your pilot by testing with users who have different access levels.
Is there free enterprise search software?
None of the vendor pages here named a free plan when I read them. Two name a free trial, so check the free plan column and each vendor's own site.
Why do enterprise search vendors all talk about agents now?
Because assistants that answer and act have become the headline product. Search still does the work underneath, so test it directly.
