This template automates the process of analyzing startup pitch decks and makes them queryable through an AI-powered chatbot.
It integrates Airtable, AI vision models, OpenAI LLMs, and a vector database (Qdrant) to:
- Import pitch decks from Airtable.
- Convert them into structured Markdown using an AI vision model.
- Extract key business information and update Airtable records.
- Build a vector store for semantic search.
- Deploy a Q&A chatbot that allows your team to ask detailed questions about any pitch deck.
Perfect for investors, analysts, and accelerators who want to streamline due diligence and make pitch decks searchable.
✨ Features
- Airtable Integration – Import and manage pitch decks directly from your Airtable database.
- AI-Powered PDF Parsing – Converts pitch decks into Markdown, capturing text, tables, images, and charts.
- Automated Data Extraction – Pulls out key details like founders, funding stage, traction, and more.
- Dynamic Report Generation – Produces executive summaries, fact-checking notes, and investment insights.
- Vector Store + RAG – Stores pitch decks in Qdrant for semantic search and retrieval.
- Chatbot Interface – Query pitch decks with natural language questions.
- Scalable Workflow – Handles multiple pitch decks and processes them in parallel.
- Privacy-Friendly Setup – Option to self-host Stirling PDF and Qdrant for full data control.
