Multi-Modal-using-RAG and RAG-Architecture

Multi-Modal-using-RAG
31
Emerging
RAG-Architecture
30
Emerging
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 13/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 17/25
Stars: 2
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 11
Forks: 9
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Multi-Modal-using-RAG

SunGajiwala/Multi-Modal-using-RAG

Conversational Agent with LangChain, OpenAI API, and RAG Concept

About RAG-Architecture

pacificrm/RAG-Architecture

Multimodal Document Processing RAG with LangChain

This tool helps you quickly get answers from a wide range of business documents like reports, presentations, audio recordings, and videos. You upload various file types, and it extracts text and context, making it searchable. It’s ideal for researchers, analysts, or anyone who needs to find specific information across a large collection of diverse media files without manually sifting through each one.

document-management information-retrieval multimedia-analysis knowledge-base research-analysis

Related comparisons

Multi-Modal-using-RAG and RAG-support-bot Multi-Modal-using-RAG and RAG

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