by The-Swarm-Corporation · Agent Tool · ★ 53
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Multi-Agent-RAG-Template A production-ready template for building Multi-Agent RAG (Retrieval-Augmented Generation) systems using the Swarms Framework. This template demonstrates how to create a collaborative team of AI agents that wo
| Stars | 53 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 47.85/100 |
| Open Issues | 2 |
| Last Updated | 2025-01-13 |
| Created | 2024-11-11 |
| Platforms | python |
| Est. Tokens | ~3k |
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Multi-Agent-RAG-Template is This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.. It is categorized as a Agent Tool with 53 GitHub stars.
Multi-Agent-RAG-Template is primarily written in Python. It covers topics such as agents, ai, anthropic.
You can find installation instructions and usage details in the Multi-Agent-RAG-Template GitHub repository at github.com/The-Swarm-Corporation/Multi-Agent-RAG-Template. The project has 53 stars and 8 forks, indicating an active community.
Multi-Agent-RAG-Template is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Multi-Agent-RAG-Template on Agent Skills Hub include open-extract, Notate, weam. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.