This workflow automates the process of uploading PDF documents, extracting text, and storing the content in a vector database for AI-driven search capabilities. The system integrates Mistral OCR for text extraction, Weaviate for vector storage, and Cohere for embeddings and reranking, creating an efficient knowledge base.
Automated PDF Ingestion to AI-Powered Search System
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.rerankerCohere, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, formTrigger, mistralAi, set, stickyNote |
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