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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# 10 MCP, AI Agents, and RAG projects for AI Engineers

**[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 3 min read · 472 upvotes · 3 comments

## Summary

Explore 10 AI-focused projects including building an MCP-powered Agentic RAG, a multi-agent book writer, and a RAG system that understands audio content. Learn how to build and fine-tune AI models like DeepSeek-R1 and create applications using open-source tools like Llama 4 and Colpali.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.dailydoseofds.com/p/10-mcp-ai-agents-and-rag-projects>

## Community discussion

Top comments from developers on daily.dev.

**@michelemirandolaigw** · 1 upvotes

> Thank you for sharing these inspiration diagrams.
> Also very explaining structure 🤟

**@walterh** · 1 upvotes

> what tool(s) was used here please

**@shrutisantosh** · 0 upvotes

> Why MCPs?

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#open-source](https://daily.dev/tags/open-source), [#deep-learning](https://daily.dev/tags/deep-learning)

[View this post on daily.dev](https://daily.dev/posts/10-mcp-ai-agents-and-rag-projects-for-ai-engineers-ftclijnpj)

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