Abstract: Raga identification is crucial for systems that automatically retrieve musical data (MIR). Identifying the Raga used to construct the music is one of the ways South Indian classical music ...

There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation (RAG) ...

Arohana’s most striking achievement is the dignity and financial independence it brings to rural women. Led by a seven-member all-women board, the organisation employs local women for most of the ...

In recent years, Retrieval Augmented Generation (RAG) systems have made significant progress in extending the capabilities of Large Language Models (LLM) through external retrieval. However, these ...

This project is a Retrieval Augmented Generation (RAG) Streamlit application backed by txtai. Retrieval Augmented Generation (RAG) helps generate factually correct content by limiting the context in ...

According to their website, "[c]ore to our mission are the principles of a stable and predictable legal, business, and regulatory climate to ensure our communities are the safest places to live, work, ...

Abstract: Retrieval-Augmented Generation (RAG) has emerged as a promising solution to address key challenges faced by GenAI, such as hallucination, outdated or non-removable parametric knowledge, and ...