您可以在 azure-search-vector-samples 存放庫中找到顯示如何產生內嵌的程式碼範例。第二種方法是使用整合向量化 (現已正式推出),讓 Azure AI 搜尋服務處理您的査詢向量化輸入和輸出。以下是提交查詢字串以部署 Azure OpenAI 內嵌模型部署的 REST API 範例:...
也可以在 Azure 门户中使用搜索资源管理器。 先决条件 在任何区域内、任何层级上的 Azure AI 搜索。 Azure AI 搜索上的矢量索引。 若要确认矢量索引,请检查你的索引中是否有vectorSearch部分。 (可选)向索引中添加矢量器,以便在查询期间进行内置文本到矢量转换或图像到矢量转换。
If your query is full text search, a query parser is used to process any text that's passed as search terms and phrases. Azure AI Search offers two query parsers. The simple parser understands the simple query syntax. This parser was selected as the default for its speed and effectiveness...
Reference for the full Lucene query syntax, as used in Azure AI Search for wildcard, fuzzy search, RegEx, and other advanced query constructs.
Keyword search on terms and phrases Boolean operators Prefix queries Show 6 more For full text search scenarios, Azure AI Search implements two Lucene-based query languages, each one aligned to a query parser. TheSimple Query Parseris the default. It covers common use cases and attempts to inte...
In Azure AI Search, facets are one layer deep and can't be hierarchical unless you use the preview API. If you aren't familiar with faceted navigation structures, the following example shows one on the left. Counts indicate the number of matches for each facet. The same document can be ...
As can be seen, the query {how to stop animals from destroying my garden} is close to {how can I stop cats fouling in my garden}. One could argue that this type of “nearby” queries could be realized by traditional query rewriting methods. However, replacing “animals” with...
Our customer asked: they wanted to understand if a single query was monopolizing the CPU or if many queries collectively contributed to high CPU usage. Knowing this can significantly influence the direction of optimization efforts. A single problematic query might re...
When managing Azure SQL Databases, it's crucial to monitor performance metrics, especially CPU usage. One of the challenges faced by database administrators is determining whether high CPU usage is c... Thanks, Jose! - SQL code: SELECT TOP 50\n ...
The underlying execution engine is in charge of applying semantically sound queries, rewriting rules, and carrying out the final plan after receiving a complete plan from Neo [57]. This guarantees the accuracy of the execution plans that are generated. Neo uses a Markov decision process (MDP) ...