This n8n workflow is designed to create a sophisticated AI-powered assistant capable of handling diverse document types, retrieving information, and maintaining conversational context. It begins with an incoming message trigger that initiates a complex orchestration of AI tools, databases, and external services. The core component is the ‘Knowledge Agent’, which uses various AI models—such as Anthropic’s Claude and GPT-4—to process user queries intelligently.
The workflow includes deep integration with Google Drive for document retrieval, enabling it to download and analyze multiple file formats like PDFs, CSVs, images, audio, and videos. It employs OpenAI embeddings and Cohere’s reranking to perform semantic search and relevance optimization within a vector database stored in Supabase.
Additionally, it maintains long-term context through PostgreSQL chat memory, facilitating multi-turn conversations. External web search capabilities via Perplexity ensure access to current information. The system is ideal for enterprises needing a virtual assistant that can handle document analysis, knowledge retrieval, and contextual conversations in a unified, automated environment.
Overall, this setup is perfect for building a smart, document-aware chatbot that enhances customer support, research, or internal knowledge management processes.
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