Natural conversation, live retrieval: Keenable search with Gradium
Blog post from Gradium
Gradium and Keenable have partnered to enhance real-time voice AI and web search by integrating Keenable's fast web retrieval capability into Gradium's open-source Gradbot agent framework, which facilitates natural conversations. This collaboration addresses the latency issues commonly experienced by voice agents when retrieving up-to-date or rare information from the web, enabling Gradbot to access live data without significant delays. Traditional search APIs often result in pauses that disrupt conversational flow, but Keenable's ability to return results in under 200 milliseconds allows for seamless integration into the agent's reasoning process, ensuring that responses are quick enough to maintain a natural dialogue. This integration offers an improved experience where users can receive timely and accurate information, such as current headlines or train schedules, without noticeable pauses, transforming voice interactions from mere query responses to engaging conversations. The public can experience this innovation through a hosted demo, and integration documentation is available for those interested in incorporating this technology into their own systems.
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