Context for agents
Bring both signals into the context your agent works with.
Combine full-text search with vector similarity so your agents and applications can use both exact terms and contextual relevance.
“Lightweight laptop backpack for commuting”
laptop · backpack
portable · everyday carry
A result informed by both the words and the intent of the request.
Bring both signals into the context your agent works with.
Keep names, phrases, and specific terms in the retrieval process.
Find related content even when it uses different language.
Take the agent’s retrieval task or the user’s question.
Use full-text and vector search as complementary retrieval signals.
Bring relevant records back to the agent or app.