{"id":160,"date":"2026-01-01T21:38:00","date_gmt":"2026-01-01T21:38:00","guid":{"rendered":"https:\/\/genia.inaf.it\/?p=160"},"modified":"2026-04-24T21:39:40","modified_gmt":"2026-04-24T21:39:40","slug":"rag","status":"publish","type":"post","link":"https:\/\/genia.inaf.it\/?p=160","title":{"rendered":"RAG"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">A Survey of RAG-Reasoning Systems in LLMs &#8211;&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2507.09477\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2507.09477<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Another RAG implementation guide &#8211;&nbsp;<a href=\"https:\/\/ai.plainenglish.io\/how-to-build-a-production-ready-rag-app-with-gemma-and-bright-data-in-under-an-hour-93dfdf414e96\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ai.plainenglish.io\/how-to-build-a-production-ready-rag-app-with-gemma-and-bright-data-in-under-an-hour-93dfdf414e96<\/a>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Agentic RAG with LLamaIndex &#8211;&nbsp;<a href=\"https:\/\/www.llamaindex.ai\/blog\/rag-is-dead-long-live-agentic-retrieval\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.llamaindex.ai\/blog\/rag-is-dead-long-live-agentic-retrieval<\/a>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Graph RAG &#8211;&nbsp;<a href=\"https:\/\/medium.com\/data-science\/how-to-implement-graph-rag-using-knowledge-graphs-and-vector-databases-60bb69a22759\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/medium.com\/data-science\/how-to-implement-graph-rag-using-knowledge-graphs-and-vector-databases-60bb69a22759<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Knowledge Graph &#8211;&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/2502.06864\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2502.06864<\/a>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/medium.com\/@infiniflowai\/ragflow-customizable-credible-explainable-rag-engine-based-on-document-structure-recognition-6a2a2369bd2a#id_token=eyJhbGciOiJSUzI1NiIsImtpZCI6ImQ5NzQwYTcwYjA5NzJkY2NmNzVmYTg4YmM1MjliZDE2YTMwNTczYmQiLCJ0eXAiOiJKV1QifQ.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.QWIhvSkjLwnInAafaCKvmpLZSRawH98lHiZ6r127j5fp4vqczKeG0Y7XyoLntKofySf0V0_VT1jAK8XXBZu5iJATmx7ipQ4X0oeulTe0lOvqrz16WThP64SuCy5IIj7Fo_zabkLrXH2l9g1ZlQdDXEX9JPUOXW1MinIh838Con1HJNstMsWpGQcQ1ISbzEzP0hNO5rxBw9yCCDUfCzX4y4wDSMHK270dEB8OSI3fQHdUJ7NA9HY-pHV0LGYYXjJqMjnxpsxokvK71EmaUtbBY1Kjg2xk0I7DpJuZRlN8I1jK_VSz4Wcr3Ohtu-ko0ECGNWM71kUkU7y4nu0GX-WxWg\" target=\"_blank\" rel=\"noreferrer noopener\">RAGFlow&nbsp;<\/a>&#8211;&nbsp;<a href=\"https:\/\/ragflow.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ragflow.io\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Survey of RAG-Reasoning Systems in LLMs &#8211;&nbsp;https:\/\/arxiv.org\/abs\/2507.09477 Another RAG implementation guide &#8211;&nbsp;https:\/\/ai.plainenglish.io\/how-to-build-a-production-ready-rag-app-with-gemma-and-bright-data-in-under-an-hour-93dfdf414e96&nbsp; Agentic RAG with LLamaIndex &#8211;&nbsp;https:\/\/www.llamaindex.ai\/blog\/rag-is-dead-long-live-agentic-retrieval&nbsp; Graph RAG &#8211;&nbsp;https:\/\/medium.com\/data-science\/how-to-implement-graph-rag-using-knowledge-graphs-and-vector-databases-60bb69a22759 Knowledge Graph &#8211;&nbsp;https:\/\/arxiv.org\/abs\/2502.06864&nbsp; RAGFlow&nbsp;&#8211;&nbsp;https:\/\/ragflow.io\/<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[12],"tags":[],"class_list":["post-160","post","type-post","status-publish","format-standard","hentry","category-rag"],"acf":[],"_links":{"self":[{"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/posts\/160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=160"}],"version-history":[{"count":1,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/posts\/160\/revisions"}],"predecessor-version":[{"id":161,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=\/wp\/v2\/posts\/160\/revisions\/161"}],"wp:attachment":[{"href":"https:\/\/genia.inaf.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genia.inaf.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}