Query PDF Content Using Weaviate and OpenAI for Document Q&A
Upload a PDF and ask questions about its content using Weaviate and OpenAI in n8n. This workflow serves as a template for implementing Retrieval-Augmented Generation (RAG) over your documents.
This workflow facilitates the process of querying PDF documents by leveraging Weaviate's vector storage capabilities and OpenAI's language models. It allows users to upload a PDF, generate embeddings, and perform queries to retrieve contextually grounded answers. The workflow is designed to be extendable, enabling users to adapt it for more complex data pipelines or different document types. It requires a Weaviate cluster, OpenAI API keys, and a self-hosted n8n instance.
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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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