Valori: A Python-Native Vector Database Built for Modularity and Extensibility
By
varshith17
Best dunked in coffee. Better still, swap for a fresh one.
Summary
The article introduces Valori, a Python-native vector database built from scratch by the author. It was created to address frustrations with existing vector databases that were either too heavy for experimentation or too opaque to modify. Valori provides a simple, modular, and extensible framework for storing, indexing, and searching high-dimensional vectors, supporting multiple indexing methods including Flat, HNSW, IVF, LSH, and Annoy, with memory, disk, and other storage options.
Key quotes
· 5 pulledI've been working on a project called Valori, a Python-native vector database I built from the ground up — not by reinventing every algorithm, but by wiring together efficient, well-known indexing and search techniques into a cohesive, hackable framework.
The idea came from my frustration with existing vector DBs that were either too heavy for experimentation or too opaque to modify.
I wanted something simple, modular, and extensible — so I built it.
Lets you store, index, and search high-dimensional vectors
Supports multiple indices (Flat, HNSW, IVF, LSH, Annoy)
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