Data & Research · GitHub ·44 ★

Datavizion-RAG

Retrieval-augmented generation (RAG) for remote & local LLM use

Details

Author
zoner72
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
44
First indexed
2026-05-15
Last active
2025-05-24
Directory sync
2026-05-15

Overview

Retrieval-augmented generation (RAG) for remote & local LLM use

Quick start

git

git clone https://github.com/zoner72/Datavizion-RAG

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

What Datavizion-RAG can do

  • Assistant — Acts as a personal helper for everyday tasks.
  • Data — Reads, transforms, and analyses structured data.
  • Scrap — scrap task automation.
  • Scraper — scraper task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is Datavizion-RAG?
Retrieval-augmented generation (RAG) for remote & local LLM use
How do I install Datavizion-RAG?
Use git: `git clone https://github.com/zoner72/Datavizion-RAG`. Full setup details on the source page linked above.
Is Datavizion-RAG open source?
Datavizion-RAG is published on GitHub.
What are alternatives to Datavizion-RAG?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for Datavizion-RAG is sourced from GitHub, published by zoner72.

Last scraped: · First indexed:

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