---
title: "Agentic RAG: Mastering Document Retrieval with CrewAI, DeepSeek, and Streamlit"
url: https://daily.dev/posts/agentic-rag-mastering-document-retrieval-with-crewai-deepseek-and-streamlit-cwfenpbku
source_url: https://towardsai.net/p/artificial-intelligence/agentic-rag-mastering-document-retrieval-with-crewai-deepseek-and-streamlit
type: article
source: "Towards AI"
published: 2025-02-25T18:05:45.022Z
updated: 2025-02-25T18:06:16.706Z
tags: ["genai", "rag"]
reading_time: 2
upvotes: 5
comments: 0
language: en
---

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# Agentic RAG: Mastering Document Retrieval with CrewAI, DeepSeek, and Streamlit

**[Towards AI](https://daily.dev/sources/tai)** · 2 min read · 5 upvotes · 0 comments

## Summary

This post introduces an Agentic RAG approach for building a secure, document retrieval chatbot using CrewAI. It explains how CrewAI's multi-agent framework processes documents locally, ensuring data security while providing precise retrieval and concise responses. The project integrates CrewAI with DeepSeek, Ollama, and Streamlit for robust language processing and an intuitive user interface. A detailed setup guide and GitHub repository are provided.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsai.net/p/artificial-intelligence/agentic-rag-mastering-document-retrieval-with-crewai-deepseek-and-streamlit>

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---

Tags: [#genai](https://daily.dev/tags/genai), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/agentic-rag-mastering-document-retrieval-with-crewai-deepseek-and-streamlit-cwfenpbku)