Finding the right data when you need it can feel like searching for a needle in a digital haystack. Traditional search methods often fall short, confined to single databases or limited indexing. What if you could create intelligent search agents that traverse your entire data ecosystem, regardless of where the data resides?
Enter Searches.do, a comprehensive platform designed for intelligent data retrieval. It's about going beyond simple database queries and empowering you to define and deploy searchable "Agents" that can access, process, and return the exact data you need from any connected system.
Most organizations and individuals today deal with data spread across various platforms:
Retrieving data requires hopping between different tools, understanding diverse query languages, and often writing custom integrations for each source. This fragmentation hinders productivity and makes it difficult to get a holistic view of your information.
Searches.do solves this by providing a unified approach to data access. At its core, the platform allows you to define Search Agents. Think of an Agent as a specialized data retrieval program you build, configured to:
This abstraction means you don't have to expose internal database schemas or complicated API endpoints directly to your users or applications. Instead, you define the intent of the search and let the Agent handle the underlying complexity.
The power of Searches.do lies in its flexibility. You define the how of the search. Here's a simple example using the provided code:
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
const results = await queryDatabase({ // This could be any database query function
collection: 'customers',
filter: { email },
limit: 1
});
return results[0] || null;
}
});
In this Typescript example:
This Agent can then be deployed on the Searches.do platform and made available for use via its API or SDK.
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.
Stop wasting time manually piecing together data from disparate systems. With Searches.do, you can build intelligent Agents that do the heavy lifting, allowing you to quickly locate and retrieve the exact information you need from any connected system. Make better, faster decisions with comprehensive search capabilities across your entire data ecosystem.
Visit searches.do today to learn more and start building your own powerful search agents!