A smart WhatsApp assistant that answers from your documents

The assistant answers customers in WhatsApp by text and voice, remembers the conversation and draws answers from your materials via Supabase.

  • Answers customers in WhatsApp around the clock
  • Understands text and voice
  • Remembers the conversation context
  • Answers drawn from your documents
Default Data LoaderEmbeddings OpenAISupabase Vector Store

How it works

To connect Notion and SeaTable, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Webhook
  2. Then: config
  3. Check: auth
  4. If yes: mensagem_tipo
  5. If yes: arquivo_id
  6. Then: deletar_arquivos_antigos
  7. If no: Convert to File
  8. Then: OpenAI
  9. Then: edit1
  10. Then: mensagem_cliente_inicial
  11. Then: Lista Mensagens1
  12. If no: base
  13. Then: Convert to File1
  14. Then: OpenAI1
  15. Then: Edit Fields
  16. If no: edit2
  17. Then: OpenAI Chat Model
  18. Then: Message Delay
  19. Then: Puxar as Mensagens
  20. Check: If1
  21. If yes: Edit Fields2
  22. Then: Database
  23. Then: setar_supabase_tabelas_vectoriais
  24. Then: Default Data Loader
  25. Then: Embeddings OpenAI1
  26. Then: Recursive Character Text Splitter
  27. Then: extrair_pdf
  28. Then: exportar_texto
  29. Then: supabase_vectorstore
  30. Then: Embeddings OpenAI
  31. Then: OpenAI Chat Model2
  32. Then: agendamentos
  33. Then: criar_cerebro
  34. Then: puxar_prompt
  35. Check: Merge
  36. Then: classificador_de_intencao
  37. Check: Switch
  38. If yes: tratamento
  39. Then: atualizar_prompt
  40. If no: recepcionista
  41. Then: Postgres Chat Memory
  42. Then: Deletar_todas_as_mensagens1
  43. Then: convert_to_file
  44. Check: tipo_arquivo
  45. Then: base64
  46. Then: OpenAI Chat Model1
  47. Then: Merge Database Data1
  48. Then: resumo
  49. Then: atualizar_lista_de_arquivos
  50. Then: criar_rag_controle
  51. Then: rag_resumos
  52. Then: Merge Database Data2
  53. Then: Supabase Vector Store
  54. Then: excluir_rag_arquivo
  55. Then: emails
  56. Then: adicionar_conhecimento
  57. Then: buscar_conhecimento
  58. Then: Merge Database Data3
  59. Then: excluir_conhecimento
  60. Then: mensagem_cliente
  61. Then: deletar_arquivo
  62. Then: Postgres Chat Memory1
  63. Then: deletar_conhecimento
  64. Then: RAG

You can launch this Notion + SeaTable integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.