Agentic RAG: Company Knowledge Slack Agents

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Ida Silfverskiöld

](https://medium.com/@ilsilfverskiold?source=post_page---byline--98e588fd1209---------------------------------------)

Agent has access to different RAG tools or APIs | Image by author

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I would have figured that most companies would have built or implemented their own RAG agents by now.

An AI knowledge agent can dig through internal documentation — websites, PDFs, random docs — and answer employees in Slack (or Teams/Discord) within a few seconds. So, these bots should significantly reduce time sifting through information for employees.

I’ve seen a few of these in bigger tech companies, like AskHR from IBM, but they aren’t all that mainstream yet.

If you’re keen to understand how they are built and how much resources it takes to build a simple one, this is an article for you.

I’ll go through the tools, techniques, and architecture involved, while also looking at the economics of building something like this. I’ll also include a section on what you’ll end up focusing the most on.

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