AI-Driven Contract Document Query System with n8n

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This workflow creates an advanced AI-powered document retrieval and query system using n8n, Google Drive, Pinecone, and OpenAI. It automates loading contract documents from Google Drive, converting them into vector embeddings, storing them in Pinecone for semantic search, and enables natural language querying of contracts through chat interfaces or web hooks. Designed for legal, procurement, or customer support teams, it facilitates quick, precise answers from large document repositories by leveraging sophisticated vector search and AI language models. The workflow involves document ingestion, embedding generation, storage in Pinecone, and interactive querying for streamlined contract management and review.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, googleDrive, manualTrigger, respondToWebhook, stickyNote, webhook

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