abdimoallim

abdimoallim / vdb

Public

A header-only C vector database library

98
3
100% credibility
Found Feb 17, 2026 at 89 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
C
AI Summary

vdb is a lightweight library for storing high-dimensional vector embeddings and performing fast similarity searches using metrics like cosine or Euclidean distance, with optional multithreading and Python bindings.

How It Works

1
💡 Discover vdb

You hear about a simple tool that lets you store lists of numbers representing patterns, like from AI descriptions of images or text, and quickly find the most similar ones.

2
📦 Set up your storage

You create a new empty storage space, choosing the length of your number lists and how to measure closeness between them.

3
➕ Add your patterns

You fill the storage by adding your number lists one by one, giving each a friendly name to remember what it is.

4
🔍 Find matches

You give it a new number list and ask for the top closest matches – watch it find them super fast!

5
💾 Save for later

You save your full storage to a file on your computer, keeping all your patterns safe.

6
📂 Pick up where you left off

Anytime you need it, you open the saved file and your storage is back, ready to search again.

🎉 Smart matching unlocked

Now you have a speedy way to connect similar things, making your ideas come alive effortlessly.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 89 to 98 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is vdb?

vdb is a header-only C library on GitHub for building lightweight vector databases that store high-dimensional embeddings and run k-nearest neighbor searches. Pick cosine, Euclidean, or dot product metrics, add vectors with string IDs and metadata, query top-k results, and save or load databases to disk—all from a single header include. Python bindings let you use it directly in scripts, compiling the C backend on demand for quick tests.

Why is it gaining traction?

This open vdb GitHub project stands out as a zero-dependency header-only library, dropping into any C/C++ codebase without build hassles or external libs beyond optional pthreads for multithreaded reads. Developers grab it for instant vector search in tight spaces, like unreal vdb integrations or vdb mapping tasks, where full databases like FAISS feel overkill. Custom allocators and thread-safe ops make it snappy for mid-scale workloads up to tens of thousands of vectors.

Who should use this?

C/C++ embedded engineers storing sensor embeddings for real-time matching, game devs adding NPC similarity search via unreal vdb workflows, or Python ML prototypers needing a fast vdbp alternative to bloated vector DBs. Ideal for vdbs under 50k vectors where brute-force speed suffices, like local vdbum caches or vdbw prototypes.

Verdict

At 86 stars and 1.0% credibility score, vdb is raw and immature—docs are basic, no fancy indexing for million-scale use—but it's a solid pick for dead-simple, header-only C vector database needs in constrained projects. Test it for your vdbd use case before committing.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.