Retrieval-augmented generation
Connect an assistant to selected documents or structured sources using retrieval and vector search. Make the source material part of the workflow instead of relying only on a model's general knowledge.
On The Table · Lahore, Pakistan
Connect language models to the information and tools your team uses. On The Table builds AI agent systems for tasks such as searching business knowledge, checking information across sources, and coordinating multi-step workflows. We use retrieval and orchestration tools to keep the system tied to the task and available data.
Discuss your projectConnect an assistant to selected documents or structured sources using retrieval and vector search. Make the source material part of the workflow instead of relying only on a model's general knowledge.
Separate research, comparison, and response tasks when a workflow benefits from distinct roles. Define the handoffs between agents and the tools each role can access.
Link AI workflows to APIs and application data. Define what the system can do, where a person reviews the result, and how exceptions return to your team.
We begin with a specific task, its source data, and the actions an agent needs to take. We then build a focused workflow and evaluate its outputs against representative examples before agreeing on deployment scope.
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Yes. Retrieval-augmented generation can connect a model to selected business documents. We need to review the data format, access requirements, and update process when scoping the integration.