Document RAG & Chat Agent: Google Drive to Qdrant with Mistral OCR
n8n template #10096Summary
Use templateKnowledge RAG & AI Chat Agent: Google Drive to Qdrant Description This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to process documents. A live chat agent that uses RAG (Retrieval-Augmented Generation) and optional web search to answer user questions. This system fully automates the creation of a “Chat with your docs” solution and enhances it with external web-searching capabilities. Quick Implementation Steps Import the workflow JSON into your n8n instance. Set up credentials for Google Drive, Mistral AI, OpenAI, and Qdrant. Open the Web Search node
Hand off to your agent
Prompt
Help me set up the n8n workflow "Document RAG & Chat Agent: Google Drive to Qdrant with Mistral OCR" (https://n8n.io/workflows/10096). It uses: HTTP Request, Google Drive, Code, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Character Text Splitter, Default Data Loader, Mistral Cloud Chat Model, Qdrant Vector Store, HTTP Request Tool, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.
Paste into Claude Code and it will do the rest.
Apps and nodes
HTTP RequestGoogle DriveCodeAI AgentEmbeddings OpenAIOpenAI Chat ModelSimple MemoryCharacter Text SplitterDefault Data LoaderMistral Cloud Chat ModelQdrant Vector StoreHTTP Request ToolInformation Extractor
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