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DataGyro Search

DataGyro’s Search vertical is designed to make retrieval augmented generation (RAG) effortless by handling all the complex work behind the scenes. It empowers you to add powerful natural language search to your LLM-powered applications in minutes, not months. With DataGyro Search, you can:
  • Connect to your data sources without complex pipelines: Easily link SQL databases, SQL dumps, and other file types.
  • Skip the RAG struggles: DataGyro automates chunking, embedding selection, and hybrid indexing. No need for manual configuration or deep expertise in retrieval mechanisms.
  • Query your data using natural language: Interact with your data intuitively, just like you would ask a question.
  • Get accurate, relevant results optimized for LLMs: The search results are specifically tailored to be consumed by Large Language Models, ensuring high-quality context for generation tasks.
  • Focus on building your product, not retrieval infrastructure: Let DataGyro handle the heavy lifting of data processing and retrieval, so you can concentrate on your core application logic.

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Key Search Features

Effortless Data Connection

Connect SQL databases and files with minimal setup.

Automatic Processing

Auto-chunking, embedding selection, and hybrid indexing with no config needed.

Natural Language Querying

LLM-ready queries that return accurate, relevant results.

Interactive Playground

Test and refine queries in a real-time environment.

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How Search Works

  1. Connect Data: Link your existing data sources.
  2. Create Collections: DataGyro processes and indexes your data into queryable collections.
  3. Query: Use natural language via the API or Playground to search your collections.
  4. Integrate: Use the retrieved results to power your LLM applications.
Ready to dive deeper? Explore the specific documentation for each feature: