Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and QDrant Vector Store

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI but the decks are unparseable through conventional means? Then you're in luck! This n8n template uses Multimodal LLMs to parse and extract valuable data from even the most overly designed pitch decks in quick fashion. Not only that, it'll also create the foundations of a RAG chatbot at the end so you or your colleagues can drill down into the details if needed. With this template, you'll scale your capacity to find interesting companies you'd otherwise miss! Requires n8n v1.62.1+ How It Works Ai

Help me set up the n8n workflow "Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and QDrant Vector Store" (https://n8n.io/workflows/2464). It uses: Airtable, Edit Image, HTTP Request, Compression, Code, AI Agent, Basic LLM Chain, Embeddings OpenAI, OpenAI Chat Model, Simple Memory, Recursive Character Text Splitter, Default Data Loader, Qdrant Vector Store, Vector Store Question Answer Tool, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.