Interact with PDF Content Using AI-Powered Q&A
This workflow enables AI-driven interactions with PDF documents by indexing content in Pinecone and generating responses using OpenAI. It processes a PDF from Google Drive, allowing users to query the document and receive AI-generated answers.
The workflow begins by downloading a PDF from Google Drive and splitting it into manageable chunks. These chunks are then embedded and stored in a Pinecone vector index. When a chat message is received, it is converted into a vector and compared against the stored vectors to find the most relevant content. This content is then used to generate a response through OpenAI, providing users with accurate and contextually relevant answers.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Alex Petrov
- stickyNote
- googleDrive
- manualTrigger
- lmChatOpenAi
- chainRetrievalQa
- embeddingsOpenAi
- manualChatTrigger
- retrieverVectorStore
- vectorStorePineconeLoad
- documentBinaryInputLoader
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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