Assistants

The "Assistant" tab in LLMate allows you to create AI-powered assistants that make it easy to “chat” with your data. Each assistant can connect to multiple datasources, enabling you to query, analyze, and gather insights from various datasets simultaneously, all within a single conversational interface. This functionality is especially useful when you need to pull insights from diverse sources in one cohesive session.

Example Use Case

Imagine you’re analyzing your marketing data across platforms like Google and Meta, each stored in different data warehouses. By creating separate datasources for each on LLMate, you can add both to a single assistant, allowing you to interact with both datasets at once. This means you can ask complex questions that require data from both platforms—like comparing ad performance across channels—and receive unified, streamlined insights without switching between sources.

Built on Agentic Frameworks

All assistants on LLMate leverage Agentic frameworks, enabling advanced AI agents to handle complex tasks. These agents are designed to break down complex questions into manageable steps, execute each step, and summarize results for you. For instance, if you request a multi-step analysis, the agent can orchestrate the entire process, from data retrieval to analysis, delivering you the final insights in a clear and concise format.

With LLMate’s Assistants, you gain a powerful tool to explore and understand your data seamlessly, making it easier to drive insights, answer questions, and make data-driven decisions.

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