Has anyone implemented a knowledgebase tool and repository with AI in the past 2 years?  Interested to connect with experience and solutions. 

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IT Manager2 months ago

We've developed a tool based on GenAI that integrates with our Azure Devops Wiki (where we currently document our systems) to Google Gemini. Google Gemini automatically generates systems documentation artifacts based on the wiki's data and user inputs, such as texts, documents, PDFs, images on a multimodal solution that enables our users to be more efficient and productive.

Now we are implementing RAG Proof of Concepts with our data, trying to integrate our legacy system documentation to give our users a tool that helps them to make better decisions. Our next step is to put a layer of a vector database so that we can improve our LLM answers. It's been quite an adventure bringing all these tools altogether, but now our measurements show that users who are using the tool in a good way are already seeing excellent results.

Data Manager9 months ago

We have utilized the Salesforce core platform to store knowledge base articles, enabling healthcare insurers to easily access this information.

Enterprise Architect Expert in Energy and Utilities9 months ago

We have been developing various RAG-based solutions for the last 15 months or so based on existing software documentation, regulatory data, service tickets, etc... 

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Highly successful 15%

Moderately successful 45%

Minimally successful 15%

Not successful10%

N/A — we haven’t deployed AI agents15%

Other (comment below)

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Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%

Recruit less experienced AI talent with a high aptitude to learn 45%

Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 29%

Build talent pipelines through partnerships with academia and professional societies41%

Hire and upskill internal talent51%

Use specialized AI recruitment agencies10%

Other (please share details in comments)2%

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