Business · GitHub ·468 ★

Advanced_RAG

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

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Details

Author
NisaarAgharia
Category
Business
Platform
GitHub
Framework
langchain
Language
jupyter notebook
Stars
468
First indexed
2026-05-15
Last active
2024-04-26
Directory sync
2026-05-15
@NisaarAgharia

Overview

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

Quick start

git

git clone https://github.com/NisaarAgharia/Advanced_RAG

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

What Advanced_RAG can do

llmraghr
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is Advanced_RAG?
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
How do I install Advanced_RAG?
Use git: `git clone https://github.com/NisaarAgharia/Advanced_RAG`. Full setup details on the source page linked above.
Is Advanced_RAG open source?
Advanced_RAG is published on GitHub.
What are alternatives to Advanced_RAG?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Advanced_RAG is sourced from GitHub, published by NisaarAgharia.

Last scraped: · First indexed:

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