Published 5 days ago
Are you a leading tech accelerator (named after a higher-order function) buried under thousands of pitch decks daily? Struggling to quickly identify the next big startup because these decks are too design-heavy for traditional parsing tools?
You’re in luck! This n8n template leverages multimodal LLMs to efficiently extract key information from even the most intricate pitch decks. Not only does it analyze content at scale, but it also builds the foundation for a RAG chatbot—so you and your team can explore deeper insights at any time. With this solution, you’ll never miss the hidden gems again!
Airtable serves as the pitch deck repository, where uploaded PDFs are stored.
An AI Vision model transcribes each PDF page into markdown.
The markdown is processed by an Information Extractor, which generates a summary and updates key fields in Airtable.
The markdown content is also indexed into Qdrant, creating a searchable AI chatbot that lets you interact with the pitch deck data.
📋 Sample Airtable: View Example Here
Enhanced Validation: Add agents to verify claims from pitch decks (e.g., LinkedIn profiles, website traffic, product reviews).
Tailored Reports: Modify the extraction logic to generate customized reports for your accelerator’s needs.
Chatbot Extensions: Use the chatbot to compare multiple startups, filter based on specific criteria, or surface competitor insights.
With this template, you’ll scale your ability to uncover promising startups—turning overwhelming data into actionable insights in no time!
Implement complex processes faster with n8n