You may use the API to construct AI purposes with out including complexity; there’s no want for vector indexes or a separate question surroundings. As an alternative, you construct on Microsoft’s personal semantic index, which powers the enterprise search options constructed into the platform. This reduces the workload wanted to construct RAG connections, so you’ll be able to focus on the content material you wish to floor in your purposes with out having to spend time fascinated by nearest-neighbor search algorithms.
By constructing on the Microsoft Graph’s SharePoint heritage, you’re in a position to rapidly floor related content material, lowering the chance of producing hallucinations and errors by focusing operations on particular content material and in particular domains. An AI utility for the authorized staff can construct on information within the libraries and lists they use, whereas the gross sales staff will be capable to work with historic bids and phrases.
Like different Microsoft Graph calls, the retrieval API makes use of HTTP calls with requests embedded within the JSON physique of a POST. This features a question string of as much as 1,500 characters, a listing of SharePoint or connector information sources, in addition to Kusto Question Language (KQL) format filters, and the required variety of outcomes. Filters are a strong device to decide on paperwork with particular metadata, for instance, from a single creator or related to a particular undertaking or buyer. Filter expressions use KQL and work with any doc property.