Document Q&A with RAG: Query PDF content using Weaviate and OpenAI
AI & ML Content File Management

Document Q&A with RAG: Query PDF content using Weaviate and OpenAI

RAG over a PDF with WeaviateThis workflow allows you to upload a PDF file and ask questions about it using the Question and Answer Chain and the Weaviate...

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About This Workflow

What This Workflow Does

This workflow enables you to extract information from a PDF file by querying its content using Weaviate and OpenAI. It allows you to upload a PDF, ask questions about it, and receive relevant answers. The workflow utilizes the Question and Answer Chain to process user queries and retrieve accurate information.

Who Should Use This

This workflow is ideal for developers, marketers, and business owners who need to automate document extraction and analysis tasks. It is particularly useful for those working with large volumes of PDF files, such as in research, customer support, or data analysis.

Key Features

  • PDF Content Extraction: Upload a PDF file and query its content using Weaviate and OpenAI.
  • Question and Answer Chain: Process user queries and retrieve accurate information from the PDF content.
  • Multimodal AI Integration: Utilize Weaviate and OpenAI for enhanced document analysis and extraction capabilities.
  • Flexible Querying: Ask questions about the PDF content and receive relevant answers.

How to Get Started

To use this workflow, simply import it into your n8n instance and customize the settings to match your specific needs. This may involve configuring the Weaviate and OpenAI integrations, as well as adjusting the workflow's input and output parameters to suit your document extraction and analysis requirements.

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