I help developers build modern applications with AI, vector search, and database technologies. After 10+ years at MongoDB and 25+ years across enterprise infrastructure, I focus on turning complex tech into things people can actually use — through hands-on workshops, open-source tools, and Developer Day events.
I also co-host The MongoDB Podcast 🎙️ and build open-source tools in my spare time.
A comprehensive toolkit for building RAG pipelines using Voyage AI embeddings and MongoDB Atlas Vector Search. Three interfaces: CLI (22 commands), web playground, and standalone desktop app.
| 🌐 Web | vaicli.com |
| 📚 Docs | docs.vaicli.com |
| 📦 npm | npm i -g voyageai-cli |
| 💻 Repo | github.com/mrlynn/voyageai-cli |
What it does:
- End-to-end pipeline —
vai pipeline ./docs/from documents to searchable vector DB - 5 chunking strategies — fixed, sentence, paragraph, recursive, markdown-aware
- Two-stage retrieval — embed → vector search → rerank with
vai query - 8 benchmark subcommands — latency, cost, asymmetric retrieval, quantization
- Interactive playground — 7 tabs: Embed, Compare, Search, Benchmark, Explore, About, Settings
Community tool — not an official MongoDB or Voyage AI product
- 🟢 AWS re:Invent — Lightning talk on the Evolution of Data to Intelligence
- 🟢 MongoDB Developer Days — Hands-on training sessions for developers worldwide
- 🟢 The MongoDB Podcast — Co-host, covering AI, developer tools, and database innovation
- 🟢 Content Creator — Blog posts, tutorials, and educational content on AI + databases
| Project | Description |
|---|---|
| 🤖 NetPad.io | AI-Powered Agentic Workflow Diagramming & Builder |
| 🏦 MongoDBank | Fraud detection demo app with MongoDB |
| 💬 DeepDJT | Chat with AI POTUS |
| 🆒 MermaidGPT | Build Mermaid Diagrams from natural language |
| 🗺️ AI Project Mapper | Generate LLM-friendly project summaries |
| 🧠 MongoDB-RAG | Similarity search, caching & retrieval library |
"The best way to learn a technology is to build something real with it."