Tools: Show DEV: PardusDB – The "SQLite of Vector DBs" written in Rust

🚀 What is PardusDB? ## 🛠 Key Features: ## 💻 Why I built it: Hey everyone! I’m excited to share a project I’ve been working on: PardusDB. If you’ve ever built a RAG (Retrieval-Augmented Generation) app or a local AI agent, you’ve probably realized that setting up a full-blown vector cluster like Milvus or Pinecone is often overkill for smaller, local-first projects. I wanted something that felt like SQLite—simple, embedded, and zero-config—but built specifically for vector search and document storage. So, I built it in Rust. PardusDB is a lightweight, high-performance, document-oriented NoSQL database. It’s designed to handle high-dimensional embeddings with a tiny footprint. Embedded & Local-First: No server overhead. It lives directly in your application. Schema-less: Store your metadata and vectors together without rigid table structures. Rust-Powered: Fast, memory-safe, and optimized for low-latency similarity search. Open Source: I've made the code public for anyone to use, break, and improve! Most vector databases are designed for the cloud. PardusDB is for the edge, the desktop, and the developer who wants to get a vector-enabled app running in minutes, not hours. Check out the repo here: github.com I’d love to hear your thoughts, answer any questions, or see how you might use this in your next AI project! Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse