Data & Research · GitHub ·24 ★

RAG-based-multimodal-agent

A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimodal data sources.

Details

Author
santiago68310
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
24
First indexed
2026-05-15
Last active
2025-09-23
Directory sync
2026-05-15

Overview

A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimodal data sources.

Quick start

git

git clone https://github.com/santiago68310/RAG-based-multimodal-agent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAG-based-multimodal-agent can do

  • Sentiment — sentiment task automation.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.
  • Analy — analy task automation.

Frequently asked questions

What is RAG-based-multimodal-agent?
A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimodal data sources.
How do I install RAG-based-multimodal-agent?
Use git: `git clone https://github.com/santiago68310/RAG-based-multimodal-agent`. Full setup details on the source page linked above.
Is RAG-based-multimodal-agent open source?
RAG-based-multimodal-agent is published on GitHub.
What are alternatives to RAG-based-multimodal-agent?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAG-based-multimodal-agent is sourced from GitHub, published by santiago68310.

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