Semantic Search & RAG Tool

The Zoom Semantic Search Tool

Search your vectorized Zoom transcripts, recordings, and chat by meaning to surface the exact discussions, decisions, and insights from past meetings — grounding for any agent that reasons over your calls.

Explore VDF AI Agents
MeaningSearch what was actually said
ScoredEvery hit ranked by similarity
3 sourcesTranscripts, recordings, chat
100%On-prem, meetings never leave
The Meeting Recall Problem

It was decided on a call — but which one, and what exactly?

Hours of Zoom recordings and transcripts pile up with no way to search what was said. The decision that resolves a debate is a sentence buried in a 60-minute call nobody wants to re-watch.

01

Recordings aren’t searchable

A wall of video files gives you no way to find the moment a topic came up.

02

Decisions get lost

What was agreed lives in someone’s memory, not in any searchable record.

03

Re-watching is expensive

Confirming what was said means scrubbing through an hour of recording.

04

Transcripts are sensitive

Meeting content is confidential — it can’t be sent to a hosted AI service.

How the Tool Works

Meaning-aware search over your meetings

Semantics

Search what was said

Find the moment by its meaning.

The tool embeds your query and matches it against vectorized Zoom transcripts, recordings, and chat, surfacing the exact discussion even when you don’t recall the meeting or the words used.

  • Transcript, recording, and chat search
  • Synonym- and paraphrase-tolerant
  • Similarity score per hit
  • Tunable top_k up to 50
Intent
Meaning Match

Beyond timestamps

EmbeddingsTranscriptsChatScored

Recall

Decisions and insights, not videos

Answers, not hours of playback.

Scope the search to transcripts, recordings, chat, or all of them, and get back ranked passages so an agent can cite what was decided instead of asking anyone to re-watch a call.

Cited
Decision Recall

No re-watching

DecisionsInsightsCitationsRAG

Governance

Private and on-premise

Your meetings stay confidential.

Indexing and search run inside your perimeter, scoped per user with audit logging, so confidential meeting content is safe to make searchable by an agent.

100%
On-Prem

Per-tenant, logged

On-premRBACAudit logSovereign
Inputs

Parameters

The zoom_vector_search tool accepts these inputs when an agent calls it. Required inputs are flagged.

Name Type Required Description
query string Required Search query for semantic matching.
user_id integer Required User ID for multi-tenant isolation.
content_type string
default: all
Optional Which Zoom content to search. transcriptsrecordingschatall
top_k integer
default: 10
Optional Maximum number of results to return (1–50).
Where it pays back

Where meeting search pays back

Decision recall

Find the exact moment a decision was made across dozens of calls.

Action-item follow-up

Surface commitments made on a call without re-watching it.

Customer call insights

Pull what a customer said about a feature across every meeting.

Onboarding

Let new team members catch up on past discussions by topic.

Compliance review

Locate where a specific subject was discussed for an audit.

Agent grounding

Ground a meeting-assistant agent in your real call history.

How VDF AI connects it

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.

ROI Snapshot

What changes after you assign it

Seconds
To the right moment in a call
No
Re-watching recordings
Cited
Decisions traceable to a meeting
100%
Searchable without meetings leaving
FAQ

Questions about the Zoom Semantic Search tool

What is the Zoom semantic search tool?

It searches your vectorized Zoom transcripts, recordings, and chat by meaning and returns ranked passages with similarity scores. Assigned to an agent, it surfaces decisions and discussions from past meetings without anyone re-watching a call.

Can I search only transcripts or only chat?

Yes. Set content_type to transcripts, recordings, chat, or all to scope the search to the source you want.

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 meeting content exposed?

No. Indexing and search run on-premise or in your sovereign cloud, scoped per user and audit-logged, so meeting content never leaves your perimeter.

How does it pair with other tools?

It is often assigned alongside federated vector search and Gmail or calendar search so an agent can connect what was said in a meeting to the surrounding mail and schedule.

Let agents search your meetings by meaning

See Zoom semantic search assigned to an agent that grounds answers in your real call history — on-premise.