sk-learn for Vector operations (open-source vector library)
An open-source library providing vector-related operations such as clustering, classification, and anomaly detection, making it easy for developers to get more out of their vector embeddings — described as 'sk-learn for Vector operations'.
What it addresses
Vector DBs and embeddings are mostly limited to RAG, so developers lack easy tools for other vector operations.
Shared over time
Each entry reflects what was shared on that date. Details may have changed since then.
sk-learn for Vector operations (open-source vector library)
An open-source library providing vector-related operations such as clustering, classification, and anomaly detection, making it easy for developers to get more out of their vector embeddings — described as 'sk-learn for Vector operations'.
Problem: Vector DBs and embeddings are mostly limited to RAG, so developers lack easy tools for other vector operations.
Audience: developers
Posted by @Pranav_Ghoghari · Original comment ↗
“Thinking about making an open-source library specific to Vector related operations like clustering, classification, anomaly detection to make it easy for developers to get more out of their vector embeddings. Basically sk-learn for Vector operations.”