Data & Research · GitHub ·36 ★

RAGformation

Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.

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Details

Author
RAGformation
Category
Data & Research
Platform
GitHub
Framework
llamaindex
Language
jupyter notebook
Stars
36
First indexed
2026-05-15
Last active
2025-06-02
Directory sync
2026-05-15
@RAGformation

Overview

Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.

Quick start

git

git clone https://github.com/RAGformation/RAGformation

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

What RAGformation can do

ragresearchdesign
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.
  • Design — design task automation.

Frequently asked questions

What is RAGformation?
Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.
How do I install RAGformation?
Use git: `git clone https://github.com/RAGformation/RAGformation`. Full setup details on the source page linked above.
Is RAGformation open source?
RAGformation is published on GitHub.
What are alternatives to RAGformation?
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 RAGformation is sourced from GitHub, published by RAGformation.

Last scraped: · First indexed:

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