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SQLite-like embedded vector database

21 starsRust

PardusDB – SQLite-like vector database in Rust

by JasonHEIN·Feb 12, 2026·2 points·0 comments

AI Analysis

●●SolidNiche GemWizardry
The Take

Using a single-file .pardus format with CREATE/INSERT/SELECT + SIMILARITY queries gives a very familiar developer UX for embedding storage. The combination of graph-based ANN, full transactions, thread-safety, and zero external dependencies is an uncommon and useful engineering combo for local-first AI work; it would win more attention with benchmark comparisons and richer ecosystem integrations (connectors/clients).

Category
Target Audience

Backend developers, ML engineers, and app developers building local RAG pipelines, semantic search, or lightweight embedded vector storage

Post Description

PardusDB is a lightweight, single-file embedded vector database written in pure Rust — think SQLite, but for vectors and similarity search.

Key highlights: - No external dependencies - Familiar SQL syntax for CREATE/INSERT/SELECT + vector SIMILARITY queries - Graph-based ANN search, thread-safe, transactions - Python RAG example with Ollama included

We built this as the engine behind our no-code platform at https://pardusai.org/ (private, local-first data analysis).

GitHub: https://github.com/JasonHonKL/PardusDB

Feedback welcome!

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