Data & Research · GitHub ·6 ★

Agentic-RAG-implementation

Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.

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Details

Author
LakshitaS
Category
Data & Research
Platform
GitHub
Framework
llamaindex
Language
jupyter notebook
Stars
6
First indexed
2026-05-15
Last active
2024-06-25
Directory sync
2026-05-15
@LakshitaS

Overview

Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.

Quick start

git

git clone https://github.com/LakshitaS/Agentic-RAG-implementation

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

What Agentic-RAG-implementation can do

routerframeworkragresearch
  • Router — router task automation.
  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.

Frequently asked questions

What is Agentic-RAG-implementation?
Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.
How do I install Agentic-RAG-implementation?
Use git: `git clone https://github.com/LakshitaS/Agentic-RAG-implementation`. Full setup details on the source page linked above.
Is Agentic-RAG-implementation open source?
Agentic-RAG-implementation is published on GitHub.
What are alternatives to Agentic-RAG-implementation?
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 Agentic-RAG-implementation is sourced from GitHub, published by LakshitaS.

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