A chat over your documents with answers from the source

How it works

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

1. Starts when: File Created
2. Check: Loop Over Items
3. Then: Set File ID
4. Check: Validate File
5. If yes: Check for Duplicates
6. Check: IF Duplicate Check
7. If yes: Log Duplicate
8. Then: Slack Duplicate Notification
9. If no: Debug File ID
10. Then: Delete old Doc
11. Then: Delete Old Data Rows
12. Then: Insert Metadata
13. Then: Download File
14. Check: Switch
15. If yes: Extract from File PDF
16. Then: Supabase Vector Store
17. If no: Extract from TXT
18. If no: Extract from CSV
19. Then: Aggregate
20. Then: Summarize
21. Then: Set Schema
22. Then: Schema Document Metadata
23. Then: Insert Table Rows
24. If no: Extract from XLSX
25. If no: Extract from RTF
26. If no: Extract from DOC
27. If no: Set Error Type
28. Then: Error Logger
29. Then: Error Notification
30. Starts when: Update to File
31. Then: Embeddings OpenAI
32. Then: Default Data Loader
33. Then: RAG AI Agent
34. Then: OpenAI Chat Model
35. Then: Postgres Chat Memory
36. Then: List Documents
37. Then: Query Document Rows
38. Then: Character Text Splitter
39. Starts when: When chat message received
40. Then: Edit Fields2
41. Then: Supabase Vector Store2
42. Then: Embeddings OpenAI2
43. Then: Get Full Document Text - Get File Contents

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