Querit Adds Code Search to Its Search API

Sep 30, 2026
Querit has launched a code search capability for its Search API, giving AI coding agents structured results from technical documentation and developer sources.

Querit announced in a press release a dedicated code search capability for its Search API. Developers can activate it through the Vertical=Code parameter without changing API endpoints.

The service prioritizes official documentation, API references, SDK manuals and developer communities such as Stack Overflow. Its retrieval models account for programming languages, framework versions, runtime environments, complexity requirements and error messages. Results are returned as structured text that preserves code blocks and parameters within a specified token budget.

Code Search is available worldwide and supports the Model Context Protocol. Querit also provides integrations with LangChain, Dify, RAGFlow, CAMEL-AI, Cherry Studio and other agent platforms. The company plans to expand coverage to major open source repositories.

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