Business · GitHub ·12 ★

Multi-Agent-RAG

Multi-agent RAG system using AutoGen for document-focused tasks in medical education, leveraging LangChain, ChromaDB, and OpenAI embeddings.

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Details

Author
SJ9VRF
Category
Business
Platform
GitHub
Framework
langchain
Language
python
Stars
12
First indexed
2026-05-15
Last active
2024-09-09
Directory sync
2026-05-15
@SJ9VRF

Overview

Multi-agent RAG system using AutoGen for document-focused tasks in medical education, leveraging LangChain, ChromaDB, and OpenAI embeddings.

Quick start

git

git clone https://github.com/SJ9VRF/Multi-Agent-RAG

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

What Multi-Agent-RAG can do

educationembeddingraghr
  • Education — Tutors learners through structured explanations.
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is Multi-Agent-RAG?
Multi-agent RAG system using AutoGen for document-focused tasks in medical education, leveraging LangChain, ChromaDB, and OpenAI embeddings.
How do I install Multi-Agent-RAG?
Use git: `git clone https://github.com/SJ9VRF/Multi-Agent-RAG`. Full setup details on the source page linked above.
Is Multi-Agent-RAG open source?
Multi-Agent-RAG is published on GitHub.
What are alternatives to Multi-Agent-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 Multi-Agent-RAG is sourced from GitHub, published by SJ9VRF.

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