Transform PDF Documents into Searchable AI-Powered Knowledge Base
This workflow converts PDF documents into vector embeddings for efficient AI-powered search using Mistral OCR, Weaviate, and Cohere technologies.
This advanced workflow leverages Mistral OCR to extract text from PDF documents and transforms them into vector embeddings using Cohere's multilingual model. These embeddings are stored in a Weaviate vector database, enabling semantic search capabilities. The MCP Server allows integration with external AI workflows, providing a robust solution for managing and retrieving information from large document repositories.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Chloe Dubois
- set
- mistralAi
- stickyNote
- formTrigger
- mcpTrigger
- rerankerCohere
- embeddingsCohere
- vectorStoreWeaviate
- documentDefaultDataLoader
- textSplitterRecursiveCharacterTextSplitter
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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