Automated Pitch Deck Processing and Q&A Workflow

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This n8n workflow streamlines the process of managing, analyzing, and querying pitch decks stored in Airtable. Designed for VC and startup use cases, it automates the downloading of PDF pitch decks, converts each page into images, and transcribes these images into markdown using AI vision models. It further extracts key information to generate reports, updates an Airtable database with the summary data, and stores the content as vectors in a Qdrant vector store for advanced question-answering. Additionally, it provides a chatbot interface that allows users to inquire about specific pitch decks, leveraging AI to fetch and interpret data from the vector store. This workflow offers a comprehensive solution for screening, analyzing, and interactive querying of startup pitch decks, useful for investors, accelerators, or startup teams looking to automate their pitch analysis and stakeholder engagement.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreQdrant, aggregate, airtable, airtableTool, airtableTrigger, code, compression, convertToFile, editImage, executeWorkflow, executeWorkflowTrigger, extractFromFile, httpRequest, if, manualTrigger, merge, noOp, set, sort, stickyNote

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