Knowledge search

Ask across Telegram history, then inspect the evidence.

Signal Desk makes selected, stored Telegram messages available through a private knowledge workflow designed to keep answer scope and source evidence visible.

Choose the evidence boundary

Knowledge coverage is enabled per category. You choose the initial history target and can adjust source-level coverage where a category needs a different boundary.

  • Message-count, date-based, or available-history starting rules
  • Per-category and per-source coverage controls
  • Canonical stored messages remain the source of record

Keep search state inspectable

The index view distinguishes stored, selected, indexed, pending, retrying, skipped, and failed messages. That makes coverage gaps visible before an analyst over-trusts an answer.

  • Index status and date-range visibility
  • Category and source drill-down
  • Recoverable background processing

Ground questions in selected categories

A conversation is scoped to one or more knowledge-enabled categories. Answers include citations that open the underlying message ledger, and longer analyses operate on a fixed snapshot.

  • Cited answer evidence
  • Conversation and model snapshots
  • Bounded retrieval with visible exclusions

Common questions

Know the operating boundary.

Does knowledge search include every message automatically?

No. Coverage follows the history settings selected for each enabled category and source, and the index view reports what remains pending or excluded.

Can a citation be checked?

Yes. Citations link back to the stored message ledger so an analyst can inspect the supporting source and date.

Private beta

Use the workflow with your own source set.

Join beta