RAG-AI-Voice-assistant- and lm-rag-techniques

RAG-AI-Voice-assistant-

Emerging

lm-rag-techniques

Emerging

Maintenance 0/25

Adoption 8/25

Maturity 8/25

Community 17/25

Maintenance 0/25

Adoption 2/25

Maturity 16/25

Community 12/25

Stars: 46

Forks: 9

Downloads: —

Commits (30d): 0

Language: Python

License: —

Stars: 2

Forks: 1

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

No License Stale 6m No Package No Dependents

Stale 6m No Package No Dependents

About RAG-AI-Voice-assistant-

Adii2202/RAG-AI-Voice-assistant-

Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.

This voice assistant helps you get quick answers to your questions using spoken commands. You provide files containing information, speak your questions aloud, and receive spoken answers drawn from those files and conversation history. It's ideal for anyone who needs to quickly retrieve information or get explanations by just speaking naturally, without typing.

information-retrieval voice-interaction knowledge-worker question-answering hands-free-search

About lm-rag-techniques

NamaWho/lm-rag-techniques

Question-Answering (QA) system powered by Retrieval-Augmented Generation (RAG). The system leverages advanced methods such as Rank Fusion and Cascading Retrieval for optimized document retrieval and contextual QA generation.

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