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#vectordatabase

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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>
InfoQ<p>Discover how multi-model retrieval augmented generation (<a href="https://techhub.social/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a>) techniques are revolutionizing AI by integrating text, images, and audio for deeper contextual understanding.</p><p>Learn more: <a href="https://bit.ly/43Ebf8S" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/43Ebf8S</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://techhub.social/tags/Database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Database</span></a> <a href="https://techhub.social/tags/VectorDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorDatabase</span></a></p>
Markus Eisele<p>Implementing effective "similarity" search in Java with Quarkus beyond simple keyword matching.</p><p> - How vector embeddings enable semantic understanding.<br> - Integrating and querying vector databases within Quarkus.<br> - Building a movie similarity search feature.<br>Essential reading for Java developers and architects exploring AI applications.</p><p><a href="https://quarkus.io/blog/movie-similarity-search-using-vector-databases/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quarkus.io/blog/movie-similari</span><span class="invisible">ty-search-using-vector-databases/</span></a></p><p><a href="https://mastodon.online/tags/Java" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Java</span></a> <a href="https://mastodon.online/tags/Quarkus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Quarkus</span></a> <a href="https://mastodon.online/tags/VectorDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorDatabase</span></a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.online/tags/SimilaritySearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SimilaritySearch</span></a></p>
Curtis "Ovid" Poe (he/him)<p>If you're familiar with vector databases and you like Perl, you're probably disappointed that there's not much support for them in Perl.</p><p>I've written an article (and a github repo), showing how you can use pgvector to use PostgreSQL as a vector database.</p><p><a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://fosstodon.org/tags/PostgreSQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PostgreSQL</span></a> <a href="https://fosstodon.org/tags/Perl" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Perl</span></a> <a href="https://fosstodon.org/tags/VectorDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorDatabase</span></a></p><p><a href="https://curtispoe.org/articles/using-vector-databases-with-perl.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">curtispoe.org/articles/using-v</span><span class="invisible">ector-databases-with-perl.html</span></a></p>