Skip to main content

Use Case: Hybrid Search

Problem Statement​

Organizations today struggle to extract relevant information from growing volumes of unstructured and semi-structured data. Traditional full-text search engines often return results based only on keyword matching, missing documents that are semantically relevant but use different phrasing. On the other hand, pure semantic search can be too vague or computationally expensive, and may ignore exact matches critical for certain business scenarios.

This gap becomes especially problematic in:

  • Customer support systems retrieving relevant past tickets or FAQs.
  • Research & development teams querying vast knowledge bases.
  • Legal and compliance teams performing document discovery.
  • Enterprise data lakes with heterogeneous document formats and metadata.

How DataDios Solves the Problem​

DataDios Hybrid Search engine bridges this gap by combining:

  • Full-text search: for precise, keyword-based matching.
  • Semantic search: for understanding meaning, synonyms, and intent.

This hybrid approach allows users to:

  • Retrieve exact matches when needed, without losing the ability to discover conceptually similar content.
  • Search across structured, semi-structured, and unstructured sources in a unified interface.
  • Get ranked, explainable results that factor in both semantic relevance and textual fidelity.

Example Use Cases​

1. Unified Search Across Multiple DataSources​

  • Scenario: Managing multiple databases, data governance tools, and file systems.
  • Challenge: Manually searching each data source individually to locate a specific table or data element.
  • Hybrid Search Impact:
    • Utilizes semantic parsing to understand user intent and context.
    • Combines traditional keyword matching with semantic relevance scoring.
    • Returns a ranked list of results from all connected modules, highlighting both exact and contextually relevant matches.

2. Retrieve Specific Workflows Across Modules​

  • Scenario: Searching for a previously migrated workflow using a database name, table name, or workflow name.
  • Challenge: Requires searching across all workflows to identify the correct one.
  • Hybrid Search Impact:
    • Applies both full-text and semantic search techniques to all available workflows.
    • Ranks workflows based on keyword matches and contextual (semantic) relevance to improve retrieval accuracy.
    • The matched word will be highlighted.
    • Highlights matched keywords within the search results for easy identification.

3. Discover Similar or Duplicate Assets Across Teams​

  • Scenario: Multiple teams may create similar dashboards, datasets, or transformations unknowingly.
  • Challenge: Hard to identify overlapping or redundant assets spread across departments.
  • Hybrid Search Impact:
    • Uses semantic similarity to detect near-duplicate dashboards, queries, and datasets even if named differently.
    • Highlights reuse opportunities and reduces redundancy.
    • Encourages collaboration and standardization by surfacing related assets created by other teams.

4. Identify Data Lineage and Impact Across Systems​

  • Scenario: Understanding how a specific table or column is used across pipelines, reports, and downstream systems.
  • Challenge: Manually tracing lineage across multiple tools and documentation is time-consuming and error-prone.
  • Hybrid Search Impact:
    • Enables users to search for a table/column and retrieve related upstream/downstream workflows, reports, and dependencies.
    • Combines metadata, schema, and semantic associations to uncover hidden or indirect relationships.
    • Reduces time to impact analysis and helps in compliance/auditing efforts.

Benefits​

  • ✅ Faster, more relevant search results.
  • ✅ Reduces duplicate work and repeated resolutions.
  • ✅ Scales with your data — works across PDFs, emails, databases, and more.
  • ✅ Easy integration into existing platforms via API.

Target Users​

  • Customer support agents
  • Enterprise knowledge managers
  • Legal & compliance teams
  • Research and data analysts

Conclusion​

Datadios's Hybrid search unlocks smarter, more relevant retrieval across complex data landscapes. It enables organizations to transform scattered knowledge into actionable insights—fast.