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๐Ÿš€ Introducing Knowledge Bases for Agents

๐Ÿš€ Introducing Knowledge Bases for Agents

One of the biggest challenges with AI agents isnโ€™t reasoning.
Itโ€™s knowing what theyโ€™re allowed to know.
Thatโ€™s why we built Knowledge Bases (KBs) in SimplAI.
By attaching a Knowledge Base to an agent, you ensure the agent grounds every response in your approved contentโ€”not generic model knowledge.

Think:
โ€ข HR policies
โ€ข SOPs & compliance rules
โ€ข Product documentation
โ€ข Contracts & legal clauses
โ€ข Internal playbooks

Why this matters
Agents without grounding hallucinate.
Agents with KBs become reliable domain experts.
โœ” Answers stay aligned with official documents
โœ” Responses are consistent, explainable, and auditable
โœ” Agents specialize by function (HR, Legal, Support, Ops)
โœ” Built for real Agentic RAG use cases

How it works
When a user asks a question, the agent:
retrieves โ†’ reads โ†’ reasons โ†’ decides the next action
All within the same thinkโ€“actโ€“observe loopโ€”now powered by your data.
Built for enterprise teams
Attach one or more scoped KBs, test in Preview, and publish with confidence.

No prompt hacks. No brittle logic. Just clean grounding.
This is how we move from

AI that talks โ†’ AI that knows what it should say.

๐Ÿ‘‰ Build your First AI Agent

AgenticAI #RAG #EnterpriseAI #AIInfrastructure #KnowledgeAI #insidesimplai #simplai

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