Convert Tour PDFs to Vector DB with Google Drive, LangChain & OpenAI
Automates extracting tour data from Google Drive PDFs, vectorizing with OpenAI embeddings via LangChain, and storing in Pinecone for AI-powered search and recommendations.
This n8n workflow streamlines the ingestion of tour package PDFs from a Google Drive folder into a Pinecone vector database. It begins with searching and downloading PDFs, then loops through each file to extract text using a data loader (e.g., pdf-loader or Unstructured). The text is cleaned, recursively split into manageable chunks, embedded with OpenAI models, and upserted into Pinecone for semantic search capabilities.
Key integrations include Google Drive for file handling, LangChain for do
- Platform
- n8n
- Category
- Crypto & Blockchain
- Price
- $24.99
- Creator
- Petra Jonsson
- Google Drive
- OpenAI
- Pinecone
- LangChain
- PDF Processing
- Vector Database
- Embeddings
- RAG
- Travel AI
- Document Ingestion
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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