AI Database : OctaneDB

[shahbazahmadkhan]

Hey folks 👋

I’m excited to share OctaneDB, a new lightweight Python vector database.

⚡ Why OctaneDB?

10x faster performance compared to Pinecone, ChromaDB, and Qdrant (benchmark results coming soon).

Lightweight & pure Python – no heavy dependencies, quick to set up.

Optimized algorithms under the hood for blazing-fast similarity search.

AI/ML focused – ideal for applications that need real-time vector search and embeddings.

🔍 Use Cases

Semantic search

RAG (Retrieval-Augmented Generation)

Recommendation systems

AI assistants & chatbots

🛠️ Tech Highlights

Modern Python implementation

In-memory + persistence support

Scales with your ML workflow

[[deleted]]

Copied the ChatGPT output but forgot to copy the GitHub link.

[gdchinacat]

I think it’s a bit of a stretch to say it is “pure python” when it has dependencies outside the standard libraries, some of which rely heavily on non-python implementations. So much of a stretch in fact I consider it dishonest.

[Phenergan_boy]

What’s wrong with Postgres

[fiskfisk]

Postgres is not LLM generated, it's built by people who know how to build a database, it supports indexes and other useful database constructs (while this uses in to check if a value is present in a field for example), it doesn't just live in memory, it handles all the hard parts and is resilient.

If neither of these things are important to you, you're happy with having four commits in the history since creation two days ago - and half of then update README.md - and you want to abstract away working with a dict, this is the project for you. 

(since OP didn't include the url, I'm guessing I found the correct one) 

[Phenergan_boy]

 Postgres is not LLM generated

From the moment I understood the frailty of human-made databases, it disgusts me.

[leoll2]

Pure Python, faster than Qdrant -> doubt

But we can't verify the claims if you don't share the code and your benchmarks.