Multimodal n8n RAG Workflow
Budget: $1,500 – $3,000 USD
I need a complete n8n workflow that lets end–users drag-and-drop or otherwise upload their own files—PDF, voice recordings, DOCX, Excel, JPEG, and video—and have every item automatically stored, indexed, and ready for Retrieval-Augmented Generation (RAG) queries.
The flow should:
• Ingest each file type on upload. Appropriate forms should be provided.
• Extract the raw content and perform text, image, and video analysis as appropriate.
• Capture key metadata, at minimum the original creation date and a concise description of the content, so later prompts can filter or rank results.
• Persist the embeddings and metadata in a store that works smoothly with RAG (I’m open to your preferred vector database).
• Expose simple n8n nodes or HTTP endpoints I can call later to retrieve relevant snippets for answer generation.
Deliverables:
1. The ready-to-import n8n workflow JSON.
2. A short README explaining any environment variables, external services, or credentials I must configure.
3. A quick demo (screenshots or screencast) showing an upload through to a successful RAG recall.
I will be providing a spec and json from a Claude-generated n8n workflow responding to the spec.
The flow should:
• Ingest each file type on upload. Appropriate forms should be provided.
• Extract the raw content and perform text, image, and video analysis as appropriate.
• Capture key metadata, at minimum the original creation date and a concise description of the content, so later prompts can filter or rank results.
• Persist the embeddings and metadata in a store that works smoothly with RAG (I’m open to your preferred vector database).
• Expose simple n8n nodes or HTTP endpoints I can call later to retrieve relevant snippets for answer generation.
Deliverables:
1. The ready-to-import n8n workflow JSON.
2. A short README explaining any environment variables, external services, or credentials I must configure.
3. A quick demo (screenshots or screencast) showing an upload through to a successful RAG recall.
I will be providing a spec and json from a Claude-generated n8n workflow responding to the spec.