In today's data-rich world, finding the exact information you need, when you need it, can feel like searching for a needle in a digital haystack. Data is scattered across databases, APIs, cloud storage, and internal systems. Connecting the dots and retrieving relevant insights often involves complex integrations and manual processes.
This is where Searches.do comes in. It's not just another search tool; it's an intelligent data retrieval platform designed to simplify the process of finding, retrieving, and utilizing data across your entire ecosystem.
Imagine you need to find a customer's complete history – their orders from your e-commerce database, their support tickets from your CRM API, and their recent interactions from your marketing platform. Without a unified approach, this requires multiple requests, different authentication methods, and likely manual data collation. This takes time, is prone to errors, and ultimately slows down decision-making.
Searches.do tackles this problem by allowing you to define Search Agents. Think of these Agents as intelligent, parameterized search interfaces for your data sources. You build an Agent by defining:
This approach allows you to encapsulate complex data retrieval logic behind a simple, standardized interface.
The beauty of Searches.do lies in its ability to connect to any data source. Whether you have data in:
You can implement a custom handler within your Search Agent to query it. This breaks down data silos and provides a single pane of glass for accessing information across your organization.
Make better decisions with comprehensive search capabilities across your entire data ecosystem.
While powerful, Searches.do is designed for ease of use. You can define and deploy your Search Agents without needing complex AI expertise. The platform focuses on providing a flexible and scalable way to access your data intelligently.
Consider this simple Typescript example:
import { Search } from 'searches.do';
const customerSearch = new Search({
name: 'Find Customer By Email',
description: 'Locates customer records by email address',
parameters: {
email: { type: 'string', format: 'email', required: true }
},
handler: async ({ email }) => {
// Implementation details - This is where you connect to your database
const results = await queryDatabase({
collection: 'customers',
filter: { email },
limit: 1
});
return results[0] || null; // Return the first customerfound
}
});
This code snippet defines a Search Agent that finds a customer by their email address. The handler function contains the specific logic for querying your database. You can extend this to combine data from multiple sources within a single Agent.
Once your Search Agents are defined and deployed, integrating them into your applications is straightforward. Searches.do provides a simple API and SDK that allows you to trigger your configured searches with specific parameters and receive structured results. This means you can empower your applications, internal tools, and even chatbots to access the data they need effortlessly.
Searches.do is more than a search engine; it's a powerful platform for transforming how you access and utilize data. By simplifying data retrieval, it empowers your teams and applications to make faster, more informed decisions based on comprehensive, easily accessible information.
Ready to experience effortless data querying? Explore Searches.do today.