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Telegram RAG Bot Over Your Own Docs

setuproll@setuproll
91.0Overall score

A retrieval-augmented Telegram bot that searches your own documents with a vector store and answers using Claude Opus 4.8, citing the source chunks it used. Perfect for teams or solo builders who want a support or knowledge bot grounded in real files instead of guessing.

91.0Score
1.5kVotes
5Components

Install this build

Export
terminal
docker compose up -d qdrant && uvicorn app:app

Components

Model

  • Claude Opus 4.8

Stack

  • FastAPI
  • Qdrant
  • python-telegram-bot

Retrieval

  • Embeddings index
  • Top-k chunk search
  • Source citations

How it works

  • Chunk and embed your PDFs and notes into a Qdrant collection
  • On each question, retrieve the most relevant chunks
  • Feed the chunks plus the question to Opus 4.8 as grounded context
  • Reply in Telegram with the answer and a list of cited sources

Deploy

  • Webhook behind FastAPI
  • Docker Compose
  • Reindex on file change

Summary

A retrieval-augmented Telegram bot that searches your own documents with a vector store and answers using Claude Opus 4.8, citing the source chunks it used. Perfect for teams or solo builders who want a support or knowledge bot grounded in real files instead of guessing.

91.0 score 1.5k votes

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