Knowledge Bases
Semantically search your knowledge, documents, and data with Knowledge Bases
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Semantically search your knowledge, documents, and data with Knowledge Bases
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Was this helpful?
Knowledge Bases allow you to store and selectively retrieve context from larger bodies of relevant information, greatly improving the quality of your LLM outputs. By importing structured and unstructured data—such as blog content, product catalogs, internal documentation, or customer support materials—you can provide your LLM-powered workflows with deeper context and unlock higher quality responses.
You can import data from a variety of sources, including file uploads (PDFs, CSVs, text documents, images), web scraping, Google Drive, SQL databases, and Shopify.
At the core of Knowledge Bases is Semantic Search, a powerful retrieval method that returns the most similar content based on meaning rather than just keyword matching. This means that even if your query isn’t an exact match, AirOps can still find and surface related content. For example, if you’re writing an article on chocolate desserts, the system might retrieve content on chocolate cakes, different types of chocolate, and even related dessert recipes—helping you enrich your prompts with the most useful and contextually relevant information.
Setting up a Knowledge Base is easy. All you need to have ready is your content so you can upload it:
