Daniele S.

Hi all, I’m working on a use case where I need to query a CRM-like dataset in natural language via a Telegram bot. The CRM data is split across multiple CSV files (companies, contacts, opportunities, contracts, etc.), all stored in Google Drive. I’d like to know if Lindy can support this setup by:

Is this workflow supported today? Or would it require combining Lindy’s KB with Google Sheets actions / external vector DB? Any examples or best practices would be very helpful. Thanks in advance!

Hi all, I’m working on a use case where I need to query a CRM-like dataset in natural language via a Telegram bot. The CRM data is split across multiple CSV files (companies, contacts, opportunities, contracts, etc.), all stored in Google Drive. I’d like to know if Lindy can support this setup by:

Is this workflow supported today? Or would it require combining Lindy’s KB with Google Sheets actions / external vector DB? Any examples or best practices would be very helpful. Thanks in advance!

Marvin A. I'm building an invoice document pareser...i have tried a lot of different models but the agent is processing 10 records out of more than 500 (in all the 21 pages of the document). Please can you take a look https://chat.lindy.ai/daniele-stellas-workspace-2/lindy/tracciai-6862a0d5aba15ecc5deeffff/tasks?task=68655e3d894dfc3bed3eaba8 ?

Hello, i have a pdf to parse: it is an invoice from a carrier (dhl, ups, etc). Documents are general up to 50 pages and contains at least 20 rows. I need to parse the document and insert each row in a google docs: wich model do you suggest? currently i have tried many, but the stops after a few records.....

Hello, i have a pdf to parse: it is an invoice from a carrier (dhl, ups, etc). Documents are general up to 50 pages and contains at least 20 rows. I need to parse the document and insert each row in a google docs: wich model do you suggest? currently i have tried many, but the stops after a few records.....