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Controllable-RAG-Agent

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

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Details

Author
NirDiamant
Category
AI Infrastructure
Platform
GitHub
Framework
langchain
Language
jupyter notebook
Stars
1,579
First indexed
2026-05-15
Last active
2025-06-17
Directory sync
2026-05-15
@NirDiamant@nirdiamantaidiamantai.substack.comDiscord

Overview

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Quick start

git

git clone https://github.com/NirDiamant/Controllable-RAG-Agent

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

What Controllable-RAG-Agent can do

llmrag
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is Controllable-RAG-Agent?
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
How do I install Controllable-RAG-Agent?
Use git: `git clone https://github.com/NirDiamant/Controllable-RAG-Agent`. Full setup details on the source page linked above.
Is Controllable-RAG-Agent open source?
Controllable-RAG-Agent is published on GitHub.
What are alternatives to Controllable-RAG-Agent?
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 Controllable-RAG-Agent is sourced from GitHub, published by NirDiamant.

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