community-automations/telegram-pdf-chat

Sales & CRM

PublicClaude subagent

Telegram PDF Chat

Reading a long PDF to find one clause is slow, and most chat tools just summarize the first page. Drop a document into this Telegram bot and it indexes the whole file, then answers your questions inside the chat.

sonnet4 daysTelegram Bot APIpgvectorClaudeSupabase Storage
ClaudeClaude
ROI for
README.md

Why this subagent

Reading a long PDF to find one clause is slow, and most chat tools just summarize the first page. Drop a document into this Telegram bot and it indexes the whole file, then answers your questions inside the chat.

Every answer comes with a page citation, so you can verify it instead of trusting a guess. The document stays loaded per user, so follow-up questions about the same file keep their context.

How it runs

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

Sample output

json
// Sample output
// (generated when the pipeline finishes)

Answer the question using only the retrieved PDF chunks; cite the page number and say so if the answer is absent.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.