Paul Graham Essay Search and Chat with Milvus Vector Database

Say goodbye to shallow search across long-form content!

This automation creates a fully functional RAG (Retrieval-Augmented Generation) system using Milvus to store and semantically search Paul Graham’s iconic essays—then lets you chat with an AI agent that understands the content deeply.

Whether you're a fan of PG's writing, a student of startup wisdom, or building a knowledge search system, this tool gets you powerful results with minimal setup.

What it does:

📄 Scrapes and extracts Paul Graham essays

🧠 Converts essay content into vector embeddings using OpenAI (or any embedder)

🗃 Stores vectors in a Milvus database collection

🔍 Enables natural language search across essays via semantic retrieval

💬 Lets you chat with an AI agent using Milvus results for context

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.