Knowledge base
ResearchDefinition
A knowledge base is a structured store of your organization’s information (docs, FAQs, product facts, policies) that people and AI systems can query. In AI marketing, it is the grounding source: chatbots and generators answer from it instead of improvising from the open internet.
For customer-facing AI, the knowledge base is the difference between answers and guesses. A bot grounded in your uploaded docs cites your return policy; an ungrounded one invents a plausible one, which is worse than silence.
Keep it curated: current facts, one source of truth per topic, and clear ownership. Retrieval quality mirrors library quality, so pruning stale documents is maintenance, not housekeeping.
How Savra puts it to work
Upload your files once and Savra grounds its chatbots and content in them, with strict tenant isolation so your knowledge stays yours. The Telegram bot answers from your KB, in your voice.
People also ask
What belongs in a marketing knowledge base?
Product facts, pricing logic, positioning, FAQs, policies, and approved claims. Anything an AI might otherwise guess about.
How do chatbots use a knowledge base?
Through retrieval: the bot searches your KB for relevant passages and composes its answer from them (the RAG pattern), rather than answering from generic training data.
Where this lives in Savra
See how Savra puts knowledge base to work.
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