The Confluence Semantic Search Tool
Search your vectorized Confluence space by meaning and get back the pages that actually answer the question, each with a similarity score — grounding for any agent that lives in your documentation.
Your wiki has the answer — if you can find the page
Confluence spaces grow into thousands of pages. The native search is keyword-bound, so the page you need stays hidden unless you guess its exact wording. Teams ask a colleague instead of the wiki.
Keyword search misses
If the page calls it "incident runbook" and you search "outage steps," you get nothing.
Scale hides good content
The right page exists but is buried under thousands of near-duplicates and stale drafts.
No confidence signal
Native results give no sense of how relevant a hit actually is.
Hosted AI is off-limits
Internal documentation is exactly what can’t be sent to a third-party assistant.
Meaning-aware search over your space
Semantics
Match on intent, not exact words
Find the page however it’s phrased.
The tool embeds your query and compares it to vectorized Confluence pages, surfacing the page that answers the question even when it shares no keywords with how you asked.
- Embedding-based matching
- Synonym- and paraphrase-tolerant
- Similarity score per hit
- Tunable top_k up to 50
Beyond keywords
Grounding
Citable pages for agents
Answers point back to the source page.
Each result identifies the page it came from, so an agent can ground its answer and a human can open the exact page to verify — the difference between a guess and a trustworthy response.
Verifiable answers
Governance
Private and on-premise
Documentation stays internal.
The index and search run inside your perimeter, scoped per user with audit logging, so even sensitive internal documentation is safe to make searchable.
Per-tenant, logged
Parameters
The confluence_vector_search tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: 10 Optional Maximum number of results to return (1–50).
Where Confluence search pays back
Internal helpdesk
Answer "how do I request access?" straight from the right policy page.
Engineering runbooks
Surface the correct runbook during an incident without knowing its title.
Policy lookup
Find the current HR or security policy by describing the situation, not the page name.
Onboarding
Let new hires ask the wiki questions and get grounded, citable answers.
Documentation audits
Locate every page covering a topic to find duplicates and gaps.
Agent grounding
Give a knowledge agent reliable retrieval over your documentation space.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the Confluence Semantic Search tool
What is the Confluence semantic search tool?
It searches your vectorized Confluence pages by meaning and returns the most relevant pages with similarity scores. Assigned to an agent, it grounds answers in your own documentation rather than a generic model’s training data.
Do I need to keyword-match the page title?
No. Matching is semantic, so the tool finds the right page even when your query uses entirely different words than the page does — the main weakness of native keyword search.
How many results can it return?
You control depth with top_k, up to 50 results, each carrying a similarity score so an agent can drop low-confidence hits.
Is our documentation kept private?
Yes. The vector index and search run on-premise or in your sovereign cloud, scoped per user and fully audit-logged. Nothing is sent to a third party.
Can it be combined with other sources?
Yes — assign federated vector search to query Confluence, Jira, and GitHub together, or use this tool alone when an agent only needs the wiki.
Assign Confluence Semantic Search to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Make your wiki answer questions
See Confluence semantic search assigned to an agent that grounds answers in your own pages — on-premise.