In today's data-rich landscape, the challenge isn't just having access to information, but the ability to quickly and efficiently find the right information. Your data is likely spread across databases, APIs, cloud storage, and various internal systems. How do you gain comprehensive insights and make informed decisions when hunting down the specific data you need feels like a constant scavenger hunt?
This is where Searches.do steps in. It's not just another search tool; it's an intelligent data retrieval platform designed to empower you to define, deploy, and execute targeted searches across your entire data ecosystem.
Searches.do is built on the concept of "Agents." Think of an Agent as a smart, specialized search function you configure. Each Agent knows where to look for specific types of data and how to retrieve it based on predefined parameters.
Instead of users needing to understand the intricacies of various data sources, they interact with simple, well-defined Agents. Want to find a customer record? Trigger the "Find Customer By Email" Agent. Need sales data for a specific region? Use the "Regional Sales Report" Agent.
This abstraction layer simplifies data access, making it accessible to more users and applications without requiring deep technical expertise in querying disparate systems.
While "intelligent" is the keyword, Searches.do emphasizes "AI without Complexity." The intelligence comes from the structured approach and the definition of these Agents, allowing for precise, parameter-driven searches. It doesn't rely on complex, black-box AI models for the core data retrieval logic itself, putting you in control of how data is found and processed.
You define the logic for each Agent, connecting it to the specific data source and implementing the retrieval process. This provides transparency and ensures that the search results are exactly what you expect based on your configured parameters.
Here's a glimpse of how you might define an Agent:
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 - connect to your database
const results = await queryDatabase({
collection: 'customers',
filter: { email },
limit: 1
});
return results[0] || null;
}
});
This simple TypeScript example defines an Agent that takes an email address as a parameter and uses a handler function to query a hypothetical database. You have complete control over the handler logic, allowing you to connect to any data source.
Searches.do provides a simple API and SDK for integrating these Agents into your own applications, workflows, or internal tools. You can trigger searches programmatically, passing the required parameters to your defined Agents.
This capability of parameterized searches is crucial. It moves beyond simple keyword searching to allow users to specify exactly what they're looking for with criteria like email address, ID, date ranges, location, and more. This leads to incredibly precise and relevant results, eliminating the need to sift through large data sets.
The power of Searches.do lies in its flexibility. Because you define the Agent's handler, you can connect to virtually any data source:
If you can access the data programmatically, you can create a Searches.do Agent to query it.
Searches.do is built to handle the demands of modern businesses. The platform is designed for scalability, ensuring that you can execute a high volume of search requests across your numerous configured Agents without performance bottlenecks.
What is Searches.do?
Searches.do allows you to define and deploy searchable 'Agents' that can query any connected data source, from databases and APIs to file systems and structured documents.
What types of data sources can I search?
You can connect to databases (SQL, NoSQL), APIs, cloud storage, internal systems, and more by implementing custom search handlers within your Agents.
How do I integrate Searches.do into my applications?
Searches.do provides a simple API and SDK to trigger your configured searches with specific parameters and receive structured results.
Can I perform parameterized searches?
Yes, you can define various search parameters for each Agent, allowing users to provide specific criteria (like email address, ID, date range, etc.) to refine their queries.
Is Searches.do scalable?
Yes, the platform is designed for scalability and can handle a high volume of search requests across numerous configured Agents.
Searches.do provides the intelligent data retrieval layer you need to make your data truly actionable. By providing a structured, parameterized, and easily integrable way to search across all your data sources, you empower your teams and applications to find the information they need, when they need it, driving better decisions and unlocking new insights. Explore Searches.do and transform how you interact with your data.