Parse Google Drive documents to RAG-ready Markdown with Landing.ai and Supabase cache

Make your unstructured large documents LLM ready markdown using LandingAI Document Parsing.

- Automatically watches a Google Drive folder, submits new documents to Landing.ai for parsing, caches processed files in - Supabase to avoid reprocessing, and reliably polls results with retry and timeout handling. ---

Use Cases - Automated document ingestion for RAG pipelines - Invoice, contract, or report parsing - AI-powered document analysis workflows - Knowledge base ingestion from Google Drive - Preventing duplicate document processing in ETL pipelines ---

External services: - Google Drive - Landing.ai - Supabase ---

Credentials Required

Required - Google Drive OAuth2 - Landing.ai API (HTTP Bearer Token) - Supabase API ---

How it works

Once the pdf land in google drive location it trigger and it convert pdf (even more then 200 pages to LLM ready markdown). It also check in database if the parsing is already done or not, this help to avoid any unnecessary landingAI api call.