Semantic Search & RAG Tool

The Gmail Semantic Search Tool

Search your vectorized Gmail by meaning across messages or whole threads, narrowed by sender, label, date, and status — the retrieval layer for any agent that reasons over your inbox.

Explore VDF AI Agents
MeaningSemantic, not keyword, matching
FilteredSender, label, date, and status
ThreadsSearch messages or threads
100%On-prem, mail never leaves
The Inbox Problem

The email you need is in there — somewhere

Gmail’s keyword search only works when you remember the exact words. Long threads, forwarded chains, and years of history mean the message that settles a question stays buried under thousands of near-matches.

01

Keyword search misses

If you search "contract" but the email says "MSA," the message you need never surfaces.

02

Context lives in threads

The answer is a decision buried mid-thread, not in any single subject line.

03

No relevance ranking

Native results are chronological, not ranked by how well they match intent.

04

Mail can’t leave the org

Email is sensitive by default — it can’t be handed to a hosted AI assistant.

How the Tool Works

Meaning-aware search over your mailbox

Semantics

Describe it, don’t quote it

Find the email by what it’s about.

The tool embeds your query and matches it against vectorized Gmail messages or threads, surfacing the right conversation even when it shares no keywords with how you asked.

  • Message- or thread-level search
  • Synonym- and paraphrase-tolerant
  • Similarity score per hit
  • Tunable top_k up to 50
Intent
Meaning Match

Beyond keywords

EmbeddingsThreadsScoredRanked

Precision

Narrow by sender, label, and date

Only the mail worth reading.

Combine the semantic query with filters for sender, label, date range, read/starred status, and attachments so an agent retrieves exactly the slice of the mailbox that matters.

7
Filter Facets

Sender, label, date, status

SenderLabelsDateAttachments

Governance

Private and on-premise

Your inbox stays your inbox.

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

100%
On-Prem

Per-tenant, logged

On-premRBACAudit logSovereign
Inputs

Parameters

The gmail_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.
search_type string
default: messages
Optional Search individual messages or whole threads. messagesthreads
top_k integer
default: 10
Optional Maximum number of results to return (1–50).
labels array Optional Restrict results to messages carrying these Gmail labels.
sender string Optional Restrict results to messages from this sender.
date_from string Optional Only include messages on or after this date (ISO 8601).
date_to string Optional Only include messages on or before this date (ISO 8601).
is_read boolean Optional Filter by read/unread status.
is_starred boolean Optional Filter to starred messages only.
has_attachments boolean Optional Filter to messages that have attachments.
Where it pays back

Where Gmail search pays back

Deal history recall

Find the thread where pricing was agreed without remembering the subject line.

Commitment tracking

Surface every email where a customer or vendor promised a date or deliverable.

Support context

Pull the prior correspondence with a customer before responding.

Attachment retrieval

Find the message that carried a specific document using has_attachments.

Executive briefing

Let an assistant summarize the relevant thread ahead of a meeting.

Agent grounding

Ground a communications agent’s answers in real correspondence.

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

Faster
Time to the right thread
Filtered
By sender, label, and date
Ranked
By relevance, not date
100%
Searchable without mail leaving
FAQ

Questions about the Gmail Semantic Search tool

What is the Gmail semantic search tool?

It searches your vectorized Gmail messages or threads by meaning and returns ranked matches with similarity scores. Assigned to an agent, it lets the agent find and reason over real correspondence without you remembering exact keywords.

Can it search whole threads?

Yes. Set search_type to "threads" to match at the conversation level, or "messages" to match individual emails.

What filters are supported?

You can narrow by labels, sender, date range (date_from/date_to), read status, starred status, and whether a message has attachments — combined with the semantic query.

Is our email exposed?

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

How does it pair with other tools?

It is often assigned alongside federated vector search and calendar or drive search so an agent can reason across mail, meetings, and files at once.

Let agents search your inbox by meaning

See Gmail semantic search assigned to an agent that grounds answers in real correspondence — on-premise.