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It's important to distinguish between Knowledge Documents and Agent Instructions in Profound AI, as they serve different yet complementary roles in enhancing the capabilities of AI agents. The main difference is in how how information is processed and utilized. Knowledge Documents function like an encyclopedia, where documents are semantically searched, and only relevant sections are read and processed as needed. This allows these documents to contain vast amounts of information, accessible on demand. In contrast, Agent Instructions are limited by the large language model's system prompt token limit, as it involves preloaded instructions that are read all at once. The semantic search capability of Knowledge Documents ensures efficient token usage, as the AI agents only reference and process the specific parts of documents pertinent to a query. This distinction makes Knowledge Documents ideal for handling complex, information-rich queries, while Agent Instructions are more suited for providing concise, predetermined responses information that must fit within the token limit constraints.
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