Query Agent
An agent that searches a Weaviate Cloud database using natural-language questions.
Find alternatives to Query Agent
What it does
- Knowledge retrieval
Features 4
- Ask modeConversational interactions with answers backed by data stored in Weaviate.
- Search modeOut-of-the-box information retrieval with strong recall and controlled precision.
- Source citationsReturns accurate and relevant results with source citations.
- Client SDK accessAccessed through Python and TypeScript client SDKs or the Weaviate Cloud Console.
Sources
- Pricing
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"Query Agent free tier + usage-based; Embeddings usage-based."
- Description
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Official documentation · 14 Oct 2026
"The Query Agent runs agentic search over your Weaviate Cloud database."
- What it does
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Official documentation · 14 Oct 2026
"answers backed by data stored in Weaviate."
- Sold within
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Official documentation · 14 Oct 2026
"Query Agent is a Weaviate-native data agent"
- Name
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Official documentation · 14 Oct 2026
"Weaviate’s Query Agent is a Weaviate-native data agent"
- URL
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Official documentation · 14 Oct 2026
"Weaviate’s Query Agent is a Weaviate-native data agent"
- Deployment
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Official documentation · 14 Oct 2026
"over your Weaviate Cloud database."
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'The Query Agent can be accessed through Python and TypeScript client SDKs to integrate retrieval directly into applications, or via the Weaviate Cloud Console'.
- Intended for
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Official documentation · 18 Oct 2026
Page: 'Ask mode: for developers building agentic applications that require conversational interactions'.
Also from Weaviate
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Weaviate Database API service
Open-source vector database and its managed Weaviate Cloud, with a Query Agent, an embeddings service and multi-tenancy.
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Engram API service
A managed service that extracts and stores searchable memories for AI agents and applications.
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Weaviate Embeddings API service
A managed inference service that generates vector embeddings for data and queries in Weaviate Cloud.
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