A step-by-step guide to transforming a complex SQL query into a simple, secure, and reusable API endpoint using Searches.do. Turn your database into a developer-friendly service.
Explore the paradigm shift of treating business logic as code. Learn how agentic workflows in Searches.do can version, test, and deploy your company's data retrieval processes.
Direct database connections are a liability. Discover how creating dedicated search services provides a hardened security layer, prevents data leakage, and offers robust access control.
Your data lives in multiple silos. We'll show you how to build a single Searches.do agent that queries databases and internal APIs, merging the results into one clean response.
Go beyond monolithic queries. Learn how to build small, reusable Functions in Searches.do for data validation, transformation, and formatting to create sophisticated, maintainable agents.
Some queries are more than a single step. Dive into building advanced agentic workflows that can conditionally fetch data, aggregate results, and handle complex, stateful operations.
Turn your document archives into a queryable asset. Learn strategies for integrating Searches.do with OCR and NLP tools to build intelligent search over unstructured data sources.
Is a JOIN faster than two separate queries? Does a NoSQL lookup outperform an API call? Use Searches.do Experiments to scientifically measure and optimize your data retrieval performance.
Build a practical Search Service that pulls customer data from Salesforce and payment history from Stripe, delivering a 360-degree view through a single, simple API call.
Best practices for deploying, monitoring, and scaling your Searches.do services. Ensure your intelligent search agents are robust, reliable, and ready for production-level demand.