Open Source Hyperparameter Optimization
and Eval Framework for
Embeddings 🚀
Vectorboard is a Hyperparameter Optimization and Eval Framework for RAG Embeddings.
Boost Your LLM Performance Like Never Before!
Why Vectorboard?
Why settle for guesswork and suboptimal performance when it comes to your language model embeddings? The wrong parameters can cost you in speed, accuracy, and resources.
That's where Vectorboard steps in. We automate the tedious process of parameter tuning and algorithm selection, offering real-time analytics to help you make informed decisions instantly. Save time, money, and avoid the headache of manual tweaking. Vectorboard turns your challenges into optimizations.
