{"id":8460,"date":"2024-06-04T10:20:42","date_gmt":"2024-06-04T08:20:42","guid":{"rendered":"http:\/\/nextbrain.ai\/?p=8460"},"modified":"2024-06-04T10:20:43","modified_gmt":"2024-06-04T08:20:43","slug":"from-rag-to-raptor-improving-ai-retrieval-with-open-source-models","status":"publish","type":"post","link":"https:\/\/nextbrain.ai\/de\/blog\/from-rag-to-raptor-improving-ai-retrieval-with-open-source-models","title":{"rendered":"Von RAG zu RAPTOR: Verbesserung der KI-Retrieval mit Open-Source-Modellen"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"8460\" class=\"elementor elementor-8460\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c6d0d39 e-flex e-con-boxed e-con e-parent\" data-id=\"c6d0d39\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-21aff28 e-con-full e-flex e-con e-child\" data-id=\"21aff28\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f72fdaa elementor-widget elementor-widget-text-editor\" data-id=\"f72fdaa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Reise von Retrieval Augmented Generation (RAG) zu RAPTOR (Recursive Abstractive Processing for Tree-Organized Retrieval) markiert einen bedeutenden Fortschritt bei der Bew\u00e4ltigung von Herausforderungen wie Halluzinationen und sicher falschen Antworten.<\/p><p>Angetrieben von Ollama und Open-Source-Tools erh\u00f6ht dieser Entwicklungsweg die Genauigkeit und Benutzerfreundlichkeit von AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6587830 e-con-full e-flex e-con e-child\" data-id=\"6587830\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8b9aba1 elementor-widget elementor-widget-image\" data-id=\"8b9aba1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-300x300.png\" class=\"attachment-medium size-medium wp-image-8461\" alt=\"RAG\" srcset=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-300x300.png 300w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-1024x1024.png 1024w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-150x150.png 150w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-768x768.png 768w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-12x12.png 12w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG.png 1080w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a193b14 e-flex e-con-boxed e-con e-parent\" data-id=\"a193b14\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a784116 elementor-widget elementor-widget-text-editor\" data-id=\"a784116\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Verstehen von RAG (Retrieval Augmented Generation)<\/h3><p>RAG verbessert die AI-Antworten, indem vortrainierte Modelle mit benutzerspezifischen Daten aus externen Quellen wie JSON, PDFs oder GitHub-Repositories erg\u00e4nzt werden. Diese Daten werden in Teile umgewandelt, die in einem Vektor-Store gespeichert werden, wodurch AI relevante Informationen abrufen kann, was Halluzinationen und falsche Antworten reduziert.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cc4b662 e-flex e-con-boxed e-con e-parent\" data-id=\"cc4b662\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a405c0f elementor-widget elementor-widget-image\" data-id=\"a405c0f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"580\" height=\"264\" data-src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/RAgAS.png\" class=\"attachment-large size-large wp-image-7815 lazyload\" alt=\"\" data-srcset=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/RAgAS.png 770w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/RAgAS-300x136.png 300w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/RAgAS-768x349.png 768w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/RAgAS-18x8.png 18w\" data-sizes=\"(max-width: 580px) 100vw, 580px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 580px; --smush-placeholder-aspect-ratio: 580\/264;\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Der Mechanismus von RAG<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e9bf71 elementor-widget elementor-widget-text-editor\" data-id=\"3e9bf71\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Fortschritt zu RAG Fusion<\/h3><p>RAG Fusion baut auf RAG auf, indem es Multi-Query-Generierung und reziproke Rangfolge integriert. Multi-Query-Generierung umfasst AI, die mehrere Fragen aus der urspr\u00fcnglichen Anfrage des Benutzers erstellt, was den Abrufprozess verbessert. Die reziproke Rangfolge bewertet dann diese Antworten und stellt sicher, dass die genaueste und relevanteste Antwort bereitgestellt wird.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-83f556e e-flex e-con-boxed e-con e-parent\" data-id=\"83f556e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f39cc6e elementor-widget elementor-widget-image\" data-id=\"f39cc6e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"580\" height=\"264\" data-src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-Fusion.png\" class=\"attachment-large size-large wp-image-8475 lazyload\" alt=\"RAG-Fusion\" data-srcset=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-Fusion.png 770w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-Fusion-300x136.png 300w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-Fusion-768x349.png 768w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAG-Fusion-18x8.png 18w\" data-sizes=\"(max-width: 580px) 100vw, 580px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 580px; --smush-placeholder-aspect-ratio: 580\/264;\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Der Mechanismus von RAG Fusion<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25e5f0d elementor-widget elementor-widget-text-editor\" data-id=\"25e5f0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Einf\u00fchrung von RAPTOR (Rekursives Abstraktverarbeiten f\u00fcr baumorganisierten Abruf)<\/h3><p>RAPTOR bringt AI-Abruf einen Schritt weiter. Im Gegensatz zu traditionellem RAG organisiert RAPTOR Daten in einer Baumstruktur und fasst sie auf jeder Ebene von unten nach oben zusammen. Diese Methode erfasst einen breiteren Kontext und verbessert die Darstellung gro\u00dfangelegter Diskurse, wodurch die Einschr\u00e4nkungen des Abrufs nur kurzer Textst\u00fccke \u00fcberwunden werden.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9854ab8 e-flex e-con-boxed e-con e-parent\" data-id=\"9854ab8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-98a2408 elementor-widget elementor-widget-image\" data-id=\"98a2408\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"580\" height=\"264\" data-src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAPTOR.png\" class=\"attachment-large size-large wp-image-8479 lazyload\" alt=\"RAPTOR\" data-srcset=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAPTOR.png 770w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAPTOR-300x136.png 300w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAPTOR-768x349.png 768w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/06\/RAPTOR-18x8.png 18w\" data-sizes=\"(max-width: 580px) 100vw, 580px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 580px; --smush-placeholder-aspect-ratio: 580\/264;\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Der Mechanismus von RAPTOR<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-870a2cc elementor-widget elementor-widget-text-editor\" data-id=\"870a2cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Praktische Implementierung mit Ollama und Open-Source-Tools<\/h3><p>Mit auf GitHub verf\u00fcgbaren Tools kann RAPTOR problemlos implementiert werden. Der Prozess umfasst die Umwandlung von Daten in JSON, die Erstellung von Embeddings und die Organisation dieser in einer Baumstruktur, die in einem Vektor-Store gespeichert wird. Ollama bietet die Infrastruktur, um diese Prozesse lokal auszuf\u00fchren und gew\u00e4hrleistet Privatsph\u00e4re und Sicherheit.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5a7e02f e-flex e-con-boxed e-con e-parent\" data-id=\"5a7e02f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0ef1b1e elementor-widget elementor-widget-text-editor\" data-id=\"0ef1b1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3>Schritt f\u00fcr Schritt: Von RAG zu RAPTOR<\/h3><ol><li><strong>Datenvorbereitung<\/strong>: Datenquellen in JSON umwandeln und in LangChain laden.<\/li><li><strong>Textaufteilung<\/strong>: Verwenden Sie rekursive oder semantische Chunking, um Text in handhabbare Teile zu unterteilen.<\/li><li><strong>Erstellung von Embeddings<\/strong>: Generieren Sie Embeddings mit lokalen Modellen, um die Privatsph\u00e4re zu gew\u00e4hrleisten.<\/li><li><strong>Baumorganisation<\/strong>: Erstellen Sie eine Baumstruktur, indem Sie Daten auf jeder Ebene zusammenfassen.<\/li><li><strong>Speicherung und Abruf<\/strong>: Speichern Sie den Baum in einem Vektor-Store f\u00fcr einen effizienten Abruf.<\/li><\/ol><h3>Vorteile von RAPTOR<\/h3><p>Der baumorganisierte Ansatz von RAPTOR bietet mehrere Vorteile:<\/p><ul><li><strong>Erweiterter Kontext<\/strong>: Erfasst gr\u00f6\u00dfere Diskursstrukturen und verbessert die Antwortgenauigkeit.<\/li><li><strong>Effiziente Retrieval<\/strong>: Die Baumstruktur erm\u00f6glicht eine schnellere und relevantere Informationsbeschaffung.<\/li><li><strong>Skalierbarkeit<\/strong>: Eignet sich zur Verarbeitung gro\u00dfer Datens\u00e4tze mit komplexen Strukturen.<\/li><\/ul><h3>Fazit<\/h3><p>Die Evolution von RAG zu RAPTOR stellt einen bedeutenden Sprung in den AI-Retrieval-F\u00e4higkeiten dar. Dieser Fortschritt adressiert zentrale Herausforderungen in den AI-Antworten und macht es zu einem wertvollen Werkzeug f\u00fcr Entwickler und Forscher.<\/p><p>Deshalb ist es entscheidend, informiert und engagiert zu bleiben, w\u00e4hrend wir diese aufregende \u00c4ra durchschreiten. Mit unserer Plattform, <a href=\"http:\/\/nextbrain.ai\/de\/\">NextBrain AI<\/a>, k\u00f6nnen Sie die volle Kraft von Language Models nutzen, um Ihre Daten m\u00fchelos zu analysieren und strategische Erkenntnisse zu gewinnen. <a href=\"http:\/\/nextbrain.ai\/de\/schedule-your-free-demo\/\">Vereinbaren Sie noch heute Ihre Demo<\/a> , um zu sehen, was KI aus Ihren Daten enth\u00fcllen kann.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ac0773f e-flex e-con-boxed e-con e-parent\" data-id=\"ac0773f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-61574ea elementor-widget elementor-widget-image\" data-id=\"61574ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/nextbrain.ai\/de\/schedule-your-free-demo\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/03\/Book-A-Demo.png\" title=\"Demo buchen\" alt=\"Demo buchen\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1495px; --smush-placeholder-aspect-ratio: 1495\/120;\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The journey from Retrieval Augmented Generation (RAG) to RAPTOR (Recursive Abstractive Processing for Tree-Organized Retrieval) marks significant progress in addressing challenges like hallucinations and confidently [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8461,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[70],"tags":[795,797,802,796,801,798,799,794,803,800],"class_list":["post-8460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-hallucinations","tag-ai-retrieval","tag-multi-query-generation","tag-ollama","tag-open-source-ai","tag-rag-retrieval-augmented-generation","tag-rag-fusion","tag-raptor-recursive-abstractive-processing-for-tree-organized-retrieval","tag-reciprocal-ranking","tag-vector-store"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - 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