michabbb<p>Works with <a href="https://social.vivaldi.net/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://social.vivaldi.net/tags/JavaScript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JavaScript</span></a> <a href="https://social.vivaldi.net/tags/TypeScript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TypeScript</span></a> <a href="https://social.vivaldi.net/tags/Go" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Go</span></a> supporting frameworks like <a href="https://social.vivaldi.net/tags/LangChain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LangChain</span></a> <a href="https://social.vivaldi.net/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LlamaIndex</span></a> <a href="https://social.vivaldi.net/tags/Genkit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Genkit</span></a> & more<br>Github: <a href="https://github.com/googleapis/genai-toolbox" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/googleapis/genai-to</span><span class="invisible">olbox</span></a><br>MCP Manual: <a href="https://cloud.google.com/sql/docs/mysql/pre-built-tools-with-mcp-toolbox" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cloud.google.com/sql/docs/mysq</span><span class="invisible">l/pre-built-tools-with-mcp-toolbox</span></a></p>
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#llamaindex
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AI For Business<p>How do you trust AI when it extracts data from documents?</p><p>That’s been one of the biggest blockers to using AI in high-stakes business settings. If you can’t trace where the information came from… it’s hard to rely on it.</p><p>💥 Enter LlamaExtract — a new tool from LlamaIndex that extracts data with citations.</p><p>Now when AI pulls out key insights from a document, you can see exactly where it came from.</p><p>Read more here: <a href="https://www.llamaindex.ai/blog/get-citations-and-reasoning-for-extracted-data-in-llamaextract" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">llamaindex.ai/blog/get-citatio</span><span class="invisible">ns-and-reasoning-for-extracted-data-in-llamaextract</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://mastodon.social/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LlamaIndex</span></a></p>
Markus Eisele<p>🔥 Docling: AI-powered document processing! 🔥<br>🤯 PDFs & DOCXs in your AI workflow? Docling makes it easy! Converts to markdown & JSON for RAG and more. Blazing fast! 🚀</p><p><a href="https://youtu.be/zSCxbqgqeJ8?si=mede5eJL_iGRFwAJ" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtu.be/zSCxbqgqeJ8?si=mede5e</span><span class="invisible">JL_iGRFwAJ</span></a></p><p><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/Docling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Docling</span></a> <a href="https://mastodon.online/tags/DocumentProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DocumentProcessing</span></a> <a href="https://mastodon.online/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.online/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a> <a href="https://mastodon.online/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LlamaIndex</span></a> <a href="https://mastodon.online/tags/Efficiency" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Efficiency</span></a> <a href="https://mastodon.online/tags/Workflows" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Workflows</span></a></p>
OpenLink Software<p>Virtuoso Open Source (VOS) 7.2.14 is out!</p><p>Our high-performance, multi-model <a href="https://mastodon.social/tags/VirtuosoRDBMS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VirtuosoRDBMS</span></a> supports:</p><p>• Relational tables & graphs<br>• <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a>, <a href="https://mastodon.social/tags/SPARQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SPARQL</span></a> & <a href="https://mastodon.social/tags/GraphQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphQL</span></a><br>• Seamless AI integration w/ <a href="https://mastodon.social/tags/LangChain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LangChain</span></a> & <a href="https://mastodon.social/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LlamaIndex</span></a> via <a href="https://mastodon.social/tags/HTTP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HTTP</span></a>, <a href="https://mastodon.social/tags/ODBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ODBC</span></a>, or <a href="https://mastodon.social/tags/JDBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JDBC</span></a> </p><p>🧵Read on for links etc..</p>
Ferdinando Simonetti <p><span>[ A story from Plaban Nayak on Medium ]<br>Read this story from Plaban Nayak on Medium: </span><a href="https://medium.com/the-ai-forum/multi-document-agentic-rag-using-llama-index-and-mistral-b334fa45d3ee" rel="nofollow noopener" target="_blank">https://medium.com/the-ai-forum/multi-document-agentic-rag-using-llama-index-and-mistral-b334fa45d3ee</a> <a href="https://misskey.social/tags/RAG" rel="nofollow noopener" target="_blank">#RAG</a> <a href="https://misskey.social/tags/Agent" rel="nofollow noopener" target="_blank">#Agent</a> <a href="https://misskey.social/tags/LlamaIndex" rel="nofollow noopener" target="_blank">#LlamaIndex</a> <a href="https://misskey.social/tags/Mistral" rel="nofollow noopener" target="_blank">#Mistral</a></p>
Ferdinando Simonetti <p><span>[ cookbook/llamaindex_agentic_rag.ipynb at main · mistralai/cookbook · GitHub ]<br></span><a href="https://github.com/mistralai/cookbook/blob/main/llamaindex_agentic_rag.ipynb" rel="nofollow noopener" target="_blank">https://github.com/mistralai/cookbook/blob/main/llamaindex_agentic_rag.ipynb</a> <a href="https://misskey.social/tags/MistralAI" rel="nofollow noopener" target="_blank">#MistralAI</a> <a href="https://misskey.social/tags/LlamaIndex" rel="nofollow noopener" target="_blank">#LlamaIndex</a></p>
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