not-pizza/victor

Web-optimized vector database (written in Rust).

33
/ 100
Emerging

Victor helps web applications efficiently store and retrieve information based on its meaning or similarity, rather than exact keyword matches. It takes in text content and associated tags, processes them into compact numerical representations (embeddings), and allows users to quickly find the most relevant information. This is useful for anyone building interactive web experiences that need semantic search, recommendation engines, or content categorization.

261 stars. No commits in the last 6 months.

Use this if you are building a web application and need a lightweight, high-performance way to store and query text content based on its meaning, especially if you're concerned about storage space and quick access in the browser.

Not ideal if your application primarily requires traditional keyword search, complex relational queries, or if you need a full-fledged database with advanced features like ACID transactions or distributed scaling.

semantic-search web-application content-recommendation data-retrieval on-device-AI
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

261

Forks

7

Language

Rust

License

Last pushed

Feb 27, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/not-pizza/victor"

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