Masoud Masoumi<p>I decided to give it a try and write a simple RAG-based documentation-to-chatbot procedure as an example for reviewing the procedure and hopefully providing a quick and interesting way of learning RAG.</p><p>This post walks you through the development of a RAG system from developing a vector database to creating a simple application built on Ollama, Milvus, and Streamlit.</p><p>See the post here: <a href="https://masoudmim.github.io/blog/2025/rag-system/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">masoudmim.github.io/blog/2025/</span><span class="invisible">rag-system/</span></a></p><p><a href="https://mastodon.social/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a><br><a href="https://mastodon.social/tags/VectorDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorDatabase</span></a> <a href="https://mastodon.social/tags/Milvus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Milvus</span></a> <a href="https://mastodon.social/tags/Ollama" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ollama</span></a> <a href="https://mastodon.social/tags/Streamlit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Streamlit</span></a></p>