AI Infrastructure · GitHub ·1,563 ★

AgenticRAG-Survey

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

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Details

Author
asinghcsu
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
unknown
Stars
1,563
First indexed
2026-05-15
Last active
2025-10-20
Directory sync
2026-05-15
@asinghcsuasinghcsu.github.io/asingh

Overview

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Quick start

git

git clone https://github.com/asinghcsu/AgenticRAG-Survey

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

What AgenticRAG-Survey can do

frameworkllmrag
  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is AgenticRAG-Survey?
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
How do I install AgenticRAG-Survey?
Use git: `git clone https://github.com/asinghcsu/AgenticRAG-Survey`. Full setup details on the source page linked above.
Is AgenticRAG-Survey open source?
AgenticRAG-Survey is published on GitHub.
What are alternatives to AgenticRAG-Survey?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AgenticRAG-Survey is sourced from GitHub, published by asinghcsu.

Last scraped: · First indexed:

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