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Tab 3 — Hybrid Search

Two search modes available.

Finds and ranks the most relevant document excerpts.

  • Input: Search terms or phrases (e.g., "machine learning algorithms")
  • Click: SEARCH
  • Output: Ranked list of excerpts with relevance scores and source filenames
  • Best for: Research, fact-checking, finding specific passages

The search fuses vector similarity + BM25 full-text + graph traversal results.

Hybrid Search results

Source Labels in Results

Every search result shows which database it came from. The label appears after the filename:

cmispress.txt | Neo4j property graph
cmispress.txt | Elasticsearch search
company-ontology.txt | Qdrant vector
company-ontology.txt | Ontotext GraphDB rdf graph

When multiple databases return the same passage, duplicate filtering keeps only the highest-scoring copy — so not all configured databases will always appear in the results. This is expected behavior.

Note: The screenshot above predates the source label feature. Current builds show the filename | database label on every result card.

AI Query

AI-generated answers to natural language questions.

  • Input: Natural language question (e.g., "What are the main findings?")
  • Click: ASK
  • Output: AI-generated narrative answer synthesized from your documents
  • Best for: Summarization, analysis, overviews

AI Query results