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Weaviate Database

Develop AI applications using Weaviate's APIs and tools

Deploy

Deploy, configure, and maintain Weaviate Database

Query Agent

Run agentic search over your Weaviate Cloud collections

Weaviate Cloud

Manage and scale Weaviate in the cloud

Engram

Persistent memory for LLM agents and applications

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Configuration

See the different configuration options for the Query Agent and how you can customize it to your specific use case.

  • Class Instantiation: Learn how to instantiate the Query Agent class, as well as options to configure collections and a custom system prompt.
  • Customize the System Prompt: Learn how to define a system prompt and where it is used during the Query Agent process.
  • Multi-turn Conversations: Learn how to include multiple turns of conversations in a message history instead of a single user query.
  • Additional Filters: Define persistent filters that get added to every search the Query Agent performs.
  • Collection Configuration: Setup your collections with more advanced configurations, such as named vectors, multi-tenancy and additional filters.

Questions and feedback

If you have any questions or feedback, let us know in the user forum.

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