telechunk.

Telegram RAG bot

Build a Telegram RAG bot from your company knowledge.

Telechunk connects a Telegram bot to the documents and instructions your team already trusts. Users ask questions in Telegram, while retrieval finds relevant knowledge before the AI writes an answer.

See how it works

What RAG adds to a Telegram bot

A general AI model knows broad information, but it does not automatically know your policies, product details, or internal procedures. Retrieval-augmented generation gives the model relevant context from your approved knowledge before it responds.

  • Upload PDF, DOCX, TXT, or written knowledge.
  • Review extracted text before publishing it.
  • Search with semantic, keyword, or hybrid retrieval.

From document to answer

Connect your existing Telegram bot, add knowledge, configure the answer style, and prepare the knowledge base. Telechunk handles document extraction, chunking, embeddings, retrieval, and the Telegram conversation layer.

  • Keep knowledge separated by project.
  • Control tone, language, model, and response length.
  • Set an answer policy for questions outside the knowledge base.

Review the answers that matter

A RAG system should be inspectable. Telechunk helps teams review conversations, see which knowledge was used, find unanswered questions, and improve the source material instead of endlessly changing prompts.

Built for Telegram-native support

Your users do not need to move to another chat application. They ask questions in the Telegram bot they already know, while your team manages knowledge, access, and conversations from one workspace.

Explore Telechunk