VectorBoard/vectorboard

Open Source Embeddings Optimisation and Eval Framework for RAG/LLM Applications. Documentations at https://docs.vectorboard.ai/introduction

29
/ 100
Experimental

Implements GridSearch over RAG pipeline hyperparameters—chunk size, vector stores, and embedding models—with automated experiment generation and execution against eval queries. Built on LangChain primitives, it surfaces performance metrics (latency, embedding time) and response quality comparisons through a shareable Gradio interface, eliminating manual tuning of embedding configurations.

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Maturity 16 / 25
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Language

Python

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Last pushed

Oct 19, 2023

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