Automate PDF Knowledge Base Creation with S3, OpenAI, and Qdrant
This workflow automates the creation of a knowledge base from PDFs stored in AWS S3, utilizing OpenAI for text embeddings and Qdrant for vector storage and retrieval.
The workflow is designed to ingest PDF files from an S3 bucket, extract and process the text into manageable chunks, and embed these chunks using OpenAI's embedding models. The processed data is then indexed into a Qdrant collection with metadata for efficient retrieval. A chat interface is provided, allowing users to query the knowledge base using an AI agent that leverages OpenAI's chat model to provide contextually relevant answers.
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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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