This project focuses specifically on evaluating the Retrieval component of RAG (Retrieval-Augmented Generation) systems. While RAG consists of both retrieval and generation components, this benchmark ...

Self Query RAG enables the LLM to decompose complex queries into structured components, allowing for more precise and filtered retrieval operations. RAG Fusion combines results from multiple retrieval ...

Small language models capable of addressing specific tasks without burning through processing power are likely to surge in ...

That’s where retrieval augmented generation (RAG) fits in, which is an area where many vendors have offered various solutions. Today at AWS re:invent 2024 the company announced a series of new ...

Nodepay a decentralized AI platform transforming unused internet bandwidth into real-time data pipelines for AI training ...

You probably have a can of WD-40 gathering dust as it awaits its next squeaky door hinge, but you can use it in a lot of neat ...

Nexla’s visual design for data integration and unified retrieval across structured and unstructured data, along with composable RAG pipelines, accelerates the building of production-grade GenAI.