Skip to content
NEWMarketplace and the trig8n Agent: sell what you build, and get plans and changes that are tested before you see them. See what is new

Library / RAG & Knowledge Bases

RAG & Knowledge Bases

Answer Questions from Drive Documents on Telegram with RAG

When a Telegram or chat message arrives, an OpenAI RAG agent answers from Google Drive documents stored as vectors in Postgres PGVector.

Import it free Sign in to open it

The steps

  1. OpenAI Chat Model
  2. Default Data Loader
  3. Embeddings OpenAI1
  4. Download File
  5. File Created
  6. File Updated
  7. Extract Document Text
  8. Set File ID
  9. RAG AI Agent
  10. Loop Over Items
  11. Recursive Character Text Splitter
  12. When chat message received
  13. Create Chunks From Doc
  14. Chunks To List

24 steps in total.

Similar automations

RAG & Knowledge BasesAnswer support questions from your docs with Telegram, OpenRouter and pgvector28 stepsRAG & Knowledge BasesEmbed Gmail Emails in PGVector with Ollama16 stepsRAG & Knowledge BasesSearch New Gmail Emails with PGVector and OpenAI RAG11 stepsRAG & Knowledge BasesQuery Email Archives in Telegram with Mistral and Pgvector20 steps