DATABASE / HYBRID

The right words.
The right meaning.

Combine full-text search with vector similarity so your agents and applications can use both exact terms and contextual relevance.

Two signals. One search.EXAMPLE

“Lightweight laptop backpack for commuting”

FULL TEXT

Words

laptop · backpack

VECTOR

Meaning

portable · everyday carry

COMBINED CONTEXT

Everyday backpack

A result informed by both the words and the intent of the request.

Illustrative retrieval flow
01

Context for agents

Bring both signals into the context your agent works with.

02

Keyword precision

Keep names, phrases, and specific terms in the retrieval process.

03

Semantic relevance

Find related content even when it uses different language.

Use both sides
of the question.

  1. Start with the request

    Take the agent’s retrieval task or the user’s question.

  2. Search words and meaning

    Use full-text and vector search as complementary retrieval signals.

  3. Return useful context

    Bring relevant records back to the agent or app.