embeddings-benchmark/mteb๐ฅ active
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
$ git clone https://github.com/microsoft/rag-experiment-accelerator.gitMTEB: State-of-the-art evaluation of embeddings across languages and modalities
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust ๐ฆ
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Generative Representational Instruction Tuning
โก๏ธA Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion ๐
Data from GitHub ยท snapshot Sep 24, 2026