[{"data":1,"prerenderedAt":721},["ShallowReactive",2],{"/en-us/blog/gitlab-chat-ai/":3,"navigation-en-us":37,"banner-en-us":466,"footer-en-us":483,"Sarah Waldner":693,"next-steps-en-us":706},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":27,"_id":30,"_type":31,"title":32,"_source":33,"_file":34,"_stem":35,"_extension":36},"/en-us/blog/gitlab-chat-ai","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"ML experiment: Use a chatbot to answer how-to questions","Learn how GitLab is experimenting with a docs chatbot that you can ask product questions in this latest installment of our ongoing 'AI/ML in DevSecOps' series.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662840/Blog/Hero%20Images/ai-experiment-stars.png","https://about.gitlab.com/blog/gitlab-chat-ai","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"ML experiment: Use a chatbot to answer how-to questions\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Sarah Waldner\"}],\n        \"datePublished\": \"2023-05-04\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Sarah Waldner","2023-05-04","\n\n\u003Ci>This blog post is part of an ongoing series about GitLab's journey to [build and integrate AI/ML into our DevSecOps platform](/blog/ai-ml-in-devsecops-series/). The series starts here: [What the ML is up with DevSecOps and AI?](/blog/what-the-ml-ai/). Throughout the series, we'll feature blogs from our product, engineering, and UX teams to showcase how we're infusing AI/ML into GitLab.\u003C/i>\n\nAt GitLab, [everyone can contribute](/company/mission/). As a platform, GitLab offers a wide variety of features, but it is hard to know everything GitLab is capable of without diligently combing through our documentation, testing out our features, or talking to someone at GitLab who can answer your questions. Reading documentation can send users down a rabbit hole and they may not get their question answered. This can lead to time spent with support, meetings with the Customer Success team, going back and forth with a solutions architect, coordinating with technical account managers, and maybe opting for some professional services hours. 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